EVIDENCE–BASED PRACTICES FOR STUDENTS WITH
AUTISM SPECTRUM DISORDER
A Dissertation
Presented to the
Faculty of
California State Polytechnic University, Pomona
In Partial Fulfillment
Of the Requirements for the Degree
Doctorate
In
Educational Leadership
By
Lindsey M. Denniston
2017
SIGNATURE PAGE
DISSERTATION: EVIDENCE-BASEDPRACTICES FOR AUTISM SPECTRUM DISORDER
AUTHOR: Lindsey M. Denniston
DATE SUBMITTED: Summer 2017
College of Education and Integrative Studies
Dr. Amy Gimino Dissertation Committee Chair Department of Education
Dr. Joanne Van Boxtel Department of Education
Dr. Shannon Avery Principal Pinion Hills Elementary School
ii
ACKNOWLEDGEMENTS
I want to thank my family and friends who offered support from simply asking
“How is it going?” to listening to me rant and rave over the last three years. Every word
was helpful and meaningful to me.
To my committee for offering support and pushing me to better myself in ways I
would not have thought possible three years ago. Thank you.
A special thank you to my sisters Jamie and Amber, and brother-in-law Joe who stepped up and listened to me talk endlessly about my topic and lent an ear for me often.
Maybe one day you “will actually read” the whole thing. You were and are appreciated.
Mom, you “always knew I was smart”. From the bottom of my heart I love you and thank you for shaping me into the person I am today. That little girl with her hair sticking out everywhere, papers flying, and dragging her jacket became a doctor!
Kalise and Kylan, I love you more than anything in the world. I’ll remember working on “homework” while watching endlessly the Lion King, Cars and your latest obsessions as “cuddle time”. Anything worth doing requires working hard.
Roger, I know I drove you crazy and you returned my stress with love even if not the dishes. I would never have done this without you. Thank you for always trying to be a better man and making me a better woman right along with you. Meh!
Lastly, I dedicate this paper to my dad and grandpa Garcia. You may not have lived to see this day, but I was always your “A student”. I know “my best friend Chito” is watching me now proudly with a smile and laughing when I reveal my “A student” status. Look Dad, now I am “Dr. A student”.
ABSTRACT
Evidence-based practices (EBP) are required to be used for all students including
those students with Autism spectrum disorder (ASD; Individuals with Disabilities
Education Act [IDEA], 2004; No Child Left Behind [NCLB], 2002; Education Sciences
Reform Act, 2002); yet, there continues to be a research to practice gap with the
percentage of special educators utilizing EBP around 30% (Hess, Morrier, Heflin, &
Ivey, 2008; Lilienfeld, Marshall, Todd, & Shane, 2015; Spencer, Detrich, & Slocum,
2012; Stahmer, Collings, & Palinkas., 2005). This survey study investigated elementary special educators’ current definitions of EBP for students with ASD, the sources of information they consult for information about EBP, and their use and beliefs about EBP for students with ASD. A modified version of the Autism Treatment Survey [ATS]
(Morrier, Hess, & Heflin, 2006) was administered to special educators in an Inland
Empire District in Southern California. Results indicated that respondents defined EBP
as researched practices with positive outcomes and utilized three sources for information
regarding EBP: conferences and trainings, pre-service programs, and online materials.
All of the respondents reported using six practices: naturalistic interventions, differential
reinforcement (reinforcement), extinction, modeling, prompting, antecedent based
interventions, and functional behavior assessments. Practices that fell below the
acceptable reported use threshold of 70% included: pivotal response training (PRT),
cognitive behavior therapy, scripting, video-modeling, and self-management. All
practices, except for pivotal response training (PRT), had a greater reported use than
reported belief that the practice was an EBP. Implications, limitations and directions for
further research are discussed.
ii
Table of Contents
SIGNATURE PAGE ...... ii
ACKNOWLEDGEMENTS ...... i
ABSTRACT ...... ii
LIST OF TABLES ...... viii
LIST OF FIGURES ...... ix
CHAPTER 1: INTRODUCTION ...... 1
Defining and Diagnosing Autism Spectrum Disorder (ASD) ...... 2
Prevalence ...... 6
Characteristics of Students with ASD...... 7
Autism and Education ...... 11
Identification of Evidence-based Practice ...... 16
EBP Training ...... 20
Problem Statement ...... 21
Context for the Study ...... 23
Purpose Statement ...... 25
Research Questions ...... 25
Definition of Terms...... 25
Assumptions ...... 27
Generalizability ...... 28
iii Significance...... 28
Summary and Organization of this Study ...... 28
CHAPTER 2: LITERATURE REVIEW ...... 30
Equity, Caring, and Competency ...... 30
Equity ...... 31
Caring ...... 33
Competency ...... 35
Effective professional development...... 39
Durlak and DuPre’s Implementation Model ...... 41
Evaluating Research for Evidence-Based Practices ...... 48
What Works Clearinghouse ...... 49
Best Evidence Encyclopedia ...... 52
Evaluative Method for Determining EBP in Autism Tool ...... 52
Other Individual Researchers ...... 54
National Professional Developmental Center ...... 55
Categories of Evidence-Based Practices for Students with ASD ...... 57
Evidence-Based Practices ...... 58
Communication ...... 59
Social Skills ...... 63
Academic Skills ...... 66
Multiple Domains ...... 67
NonEBP ...... 72
iv Communication ...... 73
Behavior ...... 73
Multiple Domains ...... 76
Interventions to Service Students with ASD ...... 80
Summary ...... 84
CHAPTER 3: METHODOLOGY ...... 86
Design ...... 86
Survey Instrument ...... 87
Sample...... 88
Data Collection ...... 90
Data Analysis ...... 91
Validity ...... 92
Positionality ...... 93
Summary ...... 93
CHAPTER 4: RESEARCH FINDINGS ...... 95
Respondents ...... 96
Classroom Demographics ...... 96
Definition of Evidence-Based Practices ...... 100
EBP Are from Research ...... 101
Variety of Strategies ...... 101
v
Sources of Trainings ...... 102
Trainings and Conferences ...... 103
Online Materials ...... 104
Courses ...... 104
Evidence-Based Practices Use or Nonuse and Beliefs ...... 105
Response Rates at the 70% Standard ...... 106
Communication ...... 110
Behavior ...... 110
Social Skills ...... 113
Academic Skills ...... 116
Multiple Domains ...... 116
Open Responses ...... 121
CHAPTER 5: CONCLUSIONS, DISCUSSION, AND RECOMMENDATIONS ...... 123
Conclusions ...... 125
How Do IE Special Educators Define EBP for Students with ASD? ...... 125
What Sources do Special Educators Use to Incorporate EBP for Students with
ASD? ...... 126
What EBP and NonEBP are Teachers Using and Believe are EBP? ...... 127
Communication...... 130
Social skills ...... 133
Academic skills...... 134
Multiple domains...... 135
vi Discussion ...... 139
Implications...... 142
State and Federal Policy...... 142
Districts ...... 145
Educators...... 148
Limitations and Recommendations for Further Research ...... 150
Final Thoughts ...... 152
REFERENCES ...... 154
APPENDIX A INFORMED CONSENT...... 209
APPENDIX B MODIFIED ATS SURVEY ...... 210
vii
LIST OF TABLES
Table 1 Evidence-Based Programs and Descriptions for Students with ASD ...... 17
Table 2 Percentages of Students with ASD Serviced in Genral Education or Other
Environments ...... 32
Table 3 Factors Affecting Implementation ...... 42
Table 4 Primary and Secondary Indicators for Evaluting Research ...... 54
Table 5 Most Used Practices Acording to ATS by Domain ...... 83
Table 6 Demographic Data for District ...... 89
Table 7 EBP with Total Responses Greater Than 70% ...... 106
Table 8 EBP Reported Use and Belief ...... 109
Table 9 Communication and Behavior Responses by Percentage of Reported Use and
Belief ...... 111
Table 10 Social Skills and Academics EBP By Percentages of Reported Use and Belief
...... 113
Table 11 Multiple Domains EBP By Percentages of Reported use and Belief ...... 117
viii LIST OF FIGURES
Figure 1. Decision Making Process Of Teacher Competency, Utilizing Equity, And
Caring To Inform EBP Use...... 31
Figure 2. Respondent Educators Students' Age Ranges ...... 97
Figure 3. Types of Credentials Held by Respondents ...... 98
Figure 4. Type of Classroom of Respondents...... 99
Figure 5. Respondents Years of Teaching Experience by Percentage ...... 100
ix
CHAPTER 1: INTRODUCTION
Special education has a history of exclusion (Shapiro & Stefkovich, 2011). Laws and cases such as Brown vs. Board of Education (1954) and the Individuals with
Disabilities Education Act (IDEA, 2004) were implemented to counteract the exclusion of students with disabilities and assure educational benefit for students with disabilities.
The Education Sciences Reform Act (2002) requires California schools to use Evidence- based practices (EBP), defined as instructional techniques with demonstrated effectiveness “bridging the research-to-practice gap and improving student outcomes,” including students with ASD (Cook & Cook, 2013, p. 71). Autism spectrum disorder
(ASD) has increased in the identified population steadily since its introduction into the academic conversation in the 1940s (Kanner, 1943; Baio, 2014; O’Brien, 2013).
Although the use of EBP is required and many researchers have advocated the use of
EBP to improve ASD symptoms (Alexander, Ayres, & Smith., 2015; Hess, et al., 2008;
Morrier, Hess, & Heflin, 2011; Odom, Boyd, Hall, & Hume, 2010; Simpson, 2005), studies have demonstrated that many teachers still do not apply EBP in their classrooms
(Hess, et al., 2008; Wong et al., 2015).
This dissertation examined this policy to practice gap by describing special educators’ definitions, use, beliefs of EBP, and the sources information they consult pertaining to EBP for students with ASD. Chapter 1 includes the background to the problem including the definition of ASD, the prevalence of the disorder, characteristics of the disorder and the history of ASD in education. The chapter then identifies and describes current EBP for students with ASD in the areas of behavior, communication, social skills and academic performance. Chapter 2 presents teachers’ decision-making
1
process focusing on equity, caring, and competency, as a framework for supporting
students with ASD. The chapter discusses how EBP practices are defined and established,
explores the implementation of EBP and non-EBP for students with ASD in the aforementioned areas, and identifies areas needing further research. Chapter 3 describes the methods used to collect and analyze data for this survey study. Chapter 4 presents the study results for each research question, and Chapter 5 discusses the conclusions of the
study and provides implications and recommendations for further research.
Defining and Diagnosing Autism Spectrum Disorder (ASD)
Kanner (1943) was the first to identify ASD in his observations regarding the
shared behavioral characteristics of several adolescents. In Kanner’s (1943) article, he
labeled a series of behaviors infantile autism, which debuted the first research in autism
(Thompson, 2013). By 1949, early infantile autism was established as withdrawal from
people or lack of socialization, a desire for sameness or unusual relation to objects,
mutism or language that does not serve the need for communication, and unusual
language patterns (Kanner, 1949). Originally, ASD was thought to develop through
psychosis (Lai, Lombardo, & Baron-Cohen, 2014; Thompson, 2013; Bettelheim, 1967).
Now, combinations of environmental and biological factors are thought to account for
ASD development such as genetics and environmental toxins (Corrales & Hebert, 2011;
Lai et al., 2014). A new definition developed from research over time and the belief that
with early intervention autism (ASD) could be treated successfully (Lai et al., 2014).
Rimland (1964) in his pivotal book Infantile Autism: The Syndrome and Its Implications
for a Neural Theory of Behavior, began to describe criteria for a consistent definition.
Creak (1964) also provided a definition with nine points of reference, though she
2
acknowledged not every child would present all nine traits. Several years later, Rimland
(1971) updated his checklist to differentiate infantile autism from other childhood
disorders, but despite these efforts, the uniformity of a definition for autism was lacking.
As the 1970s approached, Rutter (1978) in his writing asked, “To what set of phenomena
shall we apply the term autism?" (p. 141) to advocate a set of criteria for consistency. To
further complicate matters, some scholars referred to autism as psychosis as their opinion
differed regarding the limited definition offered from Kanner (1943) and Schopler,
Reichler, DeVellis, & Daly (1980).
Some view ASD as an extreme of a continuum of traits such as those featured on
scales used to diagnosis ASD (Lai, Lombardo, Chakrabarti, & Baron-Cohen, 2013). For example, a person who identifies and notes details more than others (Baron-Cohen,
Wheelwright, Skinner, Martin, & Clubley, 2001). Constantino (2011) views ASD as the
severe end of a spectrum of impairments that are highly inheritable and quantitative.
Studies demonstrate that characteristics of ASD are present within the typically
developing groups, just at lower levels than at the higher impairment end of
ASD continuum (Baron-Cohen, Wheelwright, Hill, Raste, & Plumb, 2001;
Gökçen, Petrides, Hudry, Frederickson, & Smillie, 2014; Hoekstra, Bartels, Cath, &
Boomsma, 2008; Jones, Schullin, & Meissner, 2011).
The Diagnostic and Statistical Manual of Mental Disorders III (DSM-III)
published by the American Psychiatric APA, 1980) attempted to provide a consistent definition for autism by including the three characteristic features of autism first introduced by Kanner (1943): delays in communication, social skills, and irregular or repetitive behaviors (Thompson, 2013). It also set the criteria for a diagnosis of ASD as:
3
(a) onset before 30 months, (b) pervasive lack of response to people, (c) deficits in language development, (d) if speech is present peculiar speech patterns such as echolalia,
(e) bizarre responses to the environment for example resistance to change, and (f) absences of delusions or hallucinations.
Between the DSM-III (APA, 1980) and the next revised edition, the definition became broader (APA, 1987; "DSM-III III and DSM-III III-R Diagnosis of Autism,"
1988; Lai, et al., 2014). In subsequent editions, ASD was referred to as pervasive developmental disorder (PPD) and focused on three key characteristics consistent with the first diagnosis that included, impairments in socialization and speech, restrictive and repetitive behavior, and stereotyped behavior (APA, 1994; 2000). It also included a new feature of subtypes of ASD under the broad category of PDD, including: autistic disorder,
Asperger’s disorder, pervasive developmental disorder not otherwise specified, and childhood disintegrative disorder (APA, 2000).
The most current DSM 5th edition (APA., 2013b) outlines criteria for a diagnosis of ASD and emphasizes social communications and interaction, and restrictive and repetitive behaviors. The patient must present communication impairments across multiple contexts that may range from lack of developed conversation to lack of eye contact and vary on a continuum from mild to severe (APA., 2013a). For instance, a child not making eye contact would be considered to have a mild impairment; whereas, a child who does not speak at all would be considered to have a more severe impairment.
The patient must also present repetitive or restrictive patterns of movement, such as body rocking or finger movements (APA., 2013b; Rodrigues, Gonclaves, Costa, & Soares,
2013). The DSM-5 uses the term autism spectrum disorder (ASD) with specifiers to
4
promote individualized assessment and treatment programs (APA, 2013b; Lai, et al.,
2013). For the purposes of this study, the term autism spectrum disorder (ASD) is used as an all-encompassing term including Asperger’s, autism, and pervasive developmental disorder (PDD).
The definition of ASD in the DSM-5 has some key differences from prior editions
(APA, 2013a). The early onset feature from the first inclusion in the DSM- III (APA,
1980) remains, as there must also be a history of developmental symptoms from early childhood, but diagnosis can occur later than before (APA, 2013a). This early onset feature addressed the manifestations of impairments later when they are more noticeable
(APA, 2013a; Lai et al., 2014). Other impairments may manifest as well, though they are not as specified in the DSM-5 as in the previous editions (APA, 2013a; Lai et al., 2014).
An intellectual or other disability cannot better explain the impairments though comorbidity of certain other disorders is possible, such as developmentally delay (APA,
2013a). Excluded from the DSM-5 is the language component (APA, 2013a). Language issues are now presented under the umbrella term of communication deficits or a new diagnostic category of Social (Pragmatic) Communication Disorder (APA, 2013a). In the
DSM-5, the current term autism spectrum disorder (ASD) without any subtypes is used
(APA, 2013a; Lai, et al., 2013), and specifiers are provided to allow for more individualized assessment and treatment programs (APA, 2013a; Lai, et al., 2013).
According to the APA (2013a):
Researchers found that these separate diagnoses were not consistently applied across different clinics and treatment centers. Anyone diagnosed with one of the four
5
pervasive developmental disorders (PDD) from DSM-IV should still meet the criteria for
ASD in DSM-5 or another, more accurate DSM-5 diagnosis (para. 2).
Although the new edition may eliminate a small number of students receiving an
ASD diagnosis, particularly for those who previously qualified under Aspersers and
pervasive developmental delays, it allows for more specific and clear definitions (APA,
2014; Lobar, 2016; Matson, Kozlowski, Hattier, Horovitz, & Sipes, 2012).
Prevalence
Autism spectrum disorder (ASD) has seen an increase in diagnosis since it was
first identified by Kanner in 1943, mostly attributed to the change in definition from a
mental disorder to a treatable disorder, improvements in diagnostic tools (e.g., the Autism
Diagnostic Observation Schedule [ADOS]), and inclusion of ASD in IDEA for special
education services (APA, 1980; 2013; 2014; Baio, 2014; Brock, 2014; Lai, et al., 2014;
Improving Autism Care, 2014; Rutter, 2005; Thompson, 2013). From 2000 to the
present day, an increase of 78% to 120% is estimated to have occurred in the population
(Baio, 2014; O’Brien, 2013). O’Brien (2013) approximates about one in 50 while Baio
(2014) estimates one in every 68 children are diagnosed with a form of ASD. Lai et al.
(2014) estimate the worldwide prevalence to be about 1%. More than 70% of people with
ASD demonstrate comorbid conditions, including about 31% with intellectual delays
(Baio, 2014; Lai, et al., 2014). Male children are more likely to be diagnosed then
females with a ratio of 1 in 42 males and 1 in 189 females (Baio, 2014). All ethnic groups are susceptible to a diagnosis though the prevalence is slightly larger among
Whites (Baios, 2014; U.S. Department of Education, National Center for Educational
Statistics, 2016). Finally, children from higher income tracts are more likely to be
6
diagnosed than children in lower tracts and their identification is often between 6 to 16 months earlier due to more educated and informed parents and better access to health care and developmental services (Durkin et al., 2015; Fountain, King, & Bearman, 2011;
Mazurek, et al., 2014). Overall, ASD transcends race, gender, ethnicity, and socioeconomic status (Burkett, Morris, Manning-Courtney, Anthony, & Shambley-Ebron
2015; Durkin, et al., 2015; Mazurek et al., 2015; Zuckerman, Mattox, Sinche, Blaschke,
& Bethell, 2014).
Characteristics of Students with ASD
Parents and teachers typically identify unusual behaviors self-regulation, and communication as areas of concern that affect the academic performance of student with
ASD (Goldstein, Naglieri, Rzepa, & Williams, 2013; Oliveras-Rentas, Kenworthy,
Roberson, Martin, & Wallace, 2011). This study separates social skills from communication for analyses, because while there is overlap in the two skill domains, the primary purpose of communication is to respond or initiate interaction, while social skills are meant to increase experiences that prevent isolation and loneliness (Spain & Blainey,
2015; White & Roberson-Nay, 2009). The following section provides an overview of common characteristics students with ASD display in each of the aforementioned areas.
Communication. Brown and Elder (2014) define communication as “the process of exchanging information in different forms with other people” (p. 219).
Communication is a complex process that involves understanding language and nonverbal cues and symbols (Heflin & Alaimo, 2007). Goldstein et al. (2013) administered several Autism Spectrum Rating Scales (ASRS) to a large representative sample of youth with ASD with and without formal diagnosis of psychological disorders,
7
and found approximately 20 communication and social skills domains. Although their study combined social skills and communication, their study also identified features of communication and social skills separately within the domain (Goldstein et al., 2013).
For instance, peer and adult socialization were social skills, while atypical language was a feature of communication (Goldstein et al., 2013). Areas identified under communication, excluding those with a focus on social skills, include deficits or manifestations of: echoing, subject over focus, speech out of context, odd pronoun use, odd speech, immature language, language off topic, difficulty maintaining conversations, inappropriate responses to peers or adults, smiling at inappropriate times or lack of smiling, avoids talking to peer or adults, lack of emotional expression, and lack of listening (Goldstein et al., 2013). Odd pronoun usage, immature language, and speech out of context were frequently cited features of communication delays (Goldstein et al.,
2013, p. 1010).
Behaviors. Goldstein et al. (2013) sought to identify behavioral symptoms of
ASD and found 26 unusual behaviors. Respondents indicated that individuals with ASD often “insist on certain routines” and “line up objects in a row” (Goldstein et al., 2013, p.
1008). They also identified 16 common self-regulatory behaviors related to attention, impulsivity, and noncompliance (Goldstein et al., 2013, p. 1008). Respondents, indicated behaviors of students with ASD, under these authors’ definition, included: arguing with other children; having difficulty waiting their turn; finding routine changes upsetting or reacting to routine changes; pica, interrupts, fidgets, impatient, smell, noise or touch sensitivity; and attachment to objects (Goldstein et al., 2013).
8
In a similar study, Hanson et al. (2016) administered their Behavior and Sensory
Interests Questionnaire (BSIQ) to determine behaviors associated with ASD and identify individuals with developmental disabilities in relation to the typically developing population. Their study found six categories of behavior, including: (a) stereotyped behaviors, (b) compulsive and ritualistic behaviors, (c) rigidity, (d) aggression and self- injurious behavior, (e) language perseveration, and (f) perseverative interests.
Social skills. Students with ASD often lack age appropriate social communication skills due to their difficulty interpreting visual social ques and maintaining conversations
(Mahan & Matson, 2011; Schreiber, 2011). Individuals with ASD also may exhibit other social deficits. Some of these deficits include: social problems with peers and adults, inappropriate play, responding to peers and adults appropriately, understanding feelings, grasping humor and social cues, listening, maintaining eye contact, and talking to peers and adults.
Although their peers typically do not reject students with ASD, the students with
ASD often isolate themselves, prefer to operate in the periphery, and choose to play alone at recess (Rotheram‐ Fuller, Kasari, Chamberlain, & Locke, 2010). Self-isolation is commonly seen when observing playground interactions because they may lack the skills to participate appropriately in games (Lang et al., 2012). This social isolation usually increases as students with ASD progress into the upper grades (Rotheram‐ Fuller et al.,
2010). Social interactions with typical peers and teachers offer the primary venue through which students learn academic, social, vocational, self-determination, and other functional skills required for short and long-term success (Carter et al., 2014). The continued isolation among students with ASD often suppresses their development of
9
social communication and self-regulation skills (Goldstein et al., 2012). Social isolation also may contribute to their sense of loneliness as well co-morbid disorders, such as anxiety and depression (Koegel, Kim, Koegel, & Schwartzman, 2013).
Academic performance. The lack of oral language skills among some students with ASD contributes to low reading comprehension and performance in other subjects
(Johnson, Barnes, & Desrochers, 2008). Asberg, Kopp, Berg-Kelly, and Gillberg (2010) investigated the oral language skills and reading performance of girls with ASD by comparing results on academic assessments with those of the TD population on phonetic and comprehension assessments. Though the girls with ASD could not be distinguished overtly from the typically developing population of girls, 40% of the girls with ASD manifested with a reading and writing disorder compared with 4% of the TD population
(Asberg et al., 2010). In their study, Johnson et al. (2008) found inferential skills and knowledge of story structure predicted later reading comprehension performance which is often poor in students with specific language impairments, a diagnostic component of
ASD (APA, 2013a; Johnson et al., 2008). Thus, the lack of appropriate communication development of students with ASD often contributes to the low reading performance of students (Asberg et al., 2010; Catts, Adolf, & Weismer, 2006; Nation et al., 2006; Nation,
Cocksey, Taylor, & Bishop, 2010; Oliveras-Rentas et al., 2011). According to Nation et al. (2006), the decoding and basic reading skills of many students with ASD remain intact, but students are affected by impairments in comprehension (Huemer & Mann,
2010; Jones et al., 2009).
Mathematical ability in students with ASD follows the typically developing (TD) population though some clinically significant areas of weakness in skills occur based on
10
expected performance of cognition, such as low IQ in skills in areas such as number sense in nonsymbolic numbers (Burton, Anderson, Prater, & Dyches, 2013; Hiniker,
Rosenberg-Lee, & Menon, 2016). Wei, Lenz, and Blackorby (2013) also found that students with ASD have difficulties in applied problems and calculation, but noted some students demonstrated hypercalculia, an increased ability in math calculation. Fleury et al. (2014) reviewed the wide range of skills and research pertaining to students with ASD and noted that giftedness can occur, even though most demonstrate weaknesses in skills such as word problems, remembering mathematical operations, and calculation. Fleury et al. (2014) offered cognitive constructs, or profiles, in an attempt to explain the academic difficulties of students with ASD related to auditory and visual processing, detail focused processing, executive function, theories of mind, and memory.
Despite some common areas of need such as communication, behavioral, social, and academic areas, the wide variation of performances among individuals with ASD reminds researchers that individual differences, as well as comorbid conditions, affect their abilities (Charman et al., 2011; Fleury et al., 2014; King, Lemons, & Davidson,
2013). Overall behavior, communication, social skills, and academic performance among youth with ASD affect future functioning into adulthood, including community involvement and life skills (Gray et al., 2014).
Autism and Education
A series of laws and court cases heard from the 1950s through the 1980s, promoted equity for students with ASD (Shapiro & Stevkovich, 2011). After the enactment of Brown v. Board of Education (1954) which eliminated separate but equal, the parents of students with disabilities were able to successfully lobby for the rights of
11
their students. In 1958, the Education of Mentally Retarded Children Act was passed to
support the education of students with special needs by providing grants to institutes of
higher learning to educate teachers on students with mental retardation (Brownell,
Sindelar, Kiely, & Danielson, 2010). In subsequent court hearings such as the
Pennsylvania Association for Retarded Children vs. Commonwealth of Pennsylvania
(1972), schools were prevented from limiting education opportunities for the lack of toilet
training or the perceived inability to learn (Brownell et al., 2010). Before these laws,
students with disabilities were often excluded from educational opportunities (Brownell, et al., 2010). Laws began to acknowledge that not everyone needs the same tools to make academic gains.
In the 1970s, Congress passed the Education for All Handicapped Children Act, which further guaranteed opportunities for education of students with disabilities in an inclusive setting similar to what was done with Brown vs. Board of Education (Spring,
2015). With the case of Mills vs. Board of Education of District of Columbia (1972), the
cost associated with servicing students could not be a limiting factor in providing the
required service needs. Section 504 of the Rehabilitation Act (1973) stated that
individuals with disabilities in the United States should not be excluded from
participation in any program receiving federal assistance, such as public schooling.
Therefore, laws began supporting the public education of students with disabilities.
Although at this time, all students were guaranteed the right to enter school, there were no standards for what constituted a disability.
In the 1997, the Education for All Handicapped Children Act was changed to the
Individuals with Disabilities Education Act (IDEA, 1997), which was reauthorized in
12
2004. These acts enacted a set of procedures for determining eligibility for special
education and limiting the over representation of minorities receiving special education
services (Spring, 2015; U.S. Department of Education, 2010). IDEA (1997) also required
parental consent for evaluation and designated several qualifying conditions including:
(a) intellectual disability (formerly known as mental retardation), (b) hearing impairment,
(c) speech or language impairment (SL), (d) visual impairment (VI), (e) emotional
disturbance (ED), (f) orthopedic impairment, (g) autism (ASD), (h) traumatic brain injury
(TBI), (i) other health impairment, (j) multiple disabilities, (k) developmental delay for children 3-10 (DD), (l) acquired brain injury (ABI), or (m) specific learning disability
(SLD).
After IDEA (1997), the Education Sciences Reform Act (2002) attempted to
ensure that scientifically based practices, EBP, were utilized in schools. The act set
standards for scientific evaluation, which advocates for sound research methods and
designs that provide replication information and assistance identifying and selecting methods for improvements in education. The Education Sciences Reform Act (2002) developed the National Board for Education Sciences to oversee scientific evaluation of research in education. It provides for federal funds and grants for research in education.
The final role of the board is to promote the dissemination of researched practices for use
in classrooms.
With the development of the No Child Left Behind Act (NCLB, 2002), the
government tried to address the issue of inequities, by closing the educational gaps, for
minorities and students in special education (Cortiella, 2010). This law required that assessment information be made public and accounted for in annual yearly progress
13
(AYP) data for each school (NCLB, 2002). Special education students’ data were also
collected to determine if academic gains were being met (NCLB, 2002). NCLB also
addressed the issue of teacher quality by defining a highly qualified category for both
general education teachers and special education educators to improve equity in service delivery (NCLB, 2002). NCLB (2002) added the necessity of EBP by requiring scientifically based programs to ensure students are reading by the end of third grade at a
3rd grade proficiency level.
Laws and policies, such as IDEA (2004) and NCLB (2002), were developed to
ensure students with special needs were gaining academically to address the past injustice
of exclusion from school services (Shapiro & Stefkovich, 2011). The main benefits of
IDEA (1997; 2004), Education Sciences Reform Act (2002), and NCLB (2002) have
been the emphasis on inclusion of students with disabilities and Free Appropriate Public
Education (FAPE). As more than half of students prior to IDEA were excluded from
public services entirely, the implementation of IDEA defined where students should be
educated (Spring, 2016). The least restrictive environment (LRE) available to meet the
students’ needs, which is often the general education classroom, was emphasized in the
early 2000s (Spring, 2016). The offer of a Free Appropriate Public Education (FAPE)
within the least restrictive environment (LRE) became the new model for inclusive
education with the passage of NCLB (2002). The FAPE provision allows for education
at no cost, extending beyond public schools to private schools, when assessments
determine courses or schools would appropriately meet students’ needs (IDEA, 2004).
Inclusion has been a challenge for many general education teachers not equipped
to adapt their instruction to meet the needs of students with a variety of disabilities now
14
included in their classrooms. IDEA (2004) specified that all teachers receive training in servicing students with disabilities by adding this requirement to teaching credential programs. NCLB (2002) demanded the highly qualified option for not only general education, but also special educators.
Recently, the Every Student Succeeds Act (ESSA) of 2015 replaced NCLB
(2002). Like NCLB (2002), ESAA (2015) requires federal accountability of the states through assessments, but provides some flexibility in how the assessments are conducted
(Korte, 2015). Unlike NCLB (2002), ESSA allows states to set their own accountability goals and submit them to the state instead of achieving federally mandated goals (Korte,
2015). ESSA (2015) continues to require that students with disabilities along with other sub-groups, be monitored to determine progress and achievement.
Legislation and policies no longer operate separately for students with disabilities
(Shapiro & Stefkovich, 2011). IDEA (2004) and NCLB (2002) clarified the inclusive practices to ensure that education is for all students. As such, polices that dictate practice for general education students or typically developing students, also encompass those with disabilities (NCLB, 2002). The Education Science Reform Act (2002), NCLB
(2002), and ESSA (2015) as well, require the use of evidence-based practices (EBP) in education. Although the literature indicates parents, teachers, and administrators desire the use of EBP for implementing programs for students with ASD (Callahan, Henson, &
Cowan, 2008), the varying characteristics and needs of students with ASD present challenges to identifying EBP. As a result, there are limited EBP designated for this population (Callahan, et al., 2008; Simpson, 2008), and there is an inherent policy to practice gap (Lilienfeld, et a., 2015).
15
Identification of Evidence-basedPractice
One explanation for the gap in policy (e.g., requirements of NCLB, 2002; and the
Science Education Reform Act, 2002) and practice is the fact there is no single standard for what qualifies as EBP for students with ASD. Several authors and organizations, such as the Alexander et al. (2015); Best Evidence Encyclopedia (n.d.); Odom, Collet-
Klingenberg, Rogers, & Hatton (2010); Reichow, Barton, Sewell, Good, and Wolery
(2010); and the What Works Clearinghouse [WWC] (2014); offer tools such as checklists
to identify EBP by evaluating the strength of research methods (e.g., large sample sizes,
use of control groups and random or nonrandomized trials, and the reliability validity of
measures (Odom, Collet-Klingenberg et al., 2010; Reichow et al., 2008). As a result of
their work, Odom, Collet-Klingenberg et al. (2010) identified 24 EPB for students with
ASD. Subsequently, the National Professional Developmental Center on Autism
Spectrum Disorder [NPDC] (2016a) and Wong et al. (2015) added four additional
practices, including newly added cognitive behavior training (CBI), modeling, scripting,
and structured play group. They also dropped one practice, structures worked systems,
from their list of EBP (American Speech-Language-Hearing Leader, 2014).
Table 1 identifies and describes current EBP for students with ASD in the areas of behavior, communication, social skills and academic performance. While some carry over between the practices exists, they are grouped according to the primary strategy, which they target (Alexander, Ayres, & Smith 2015; Odom Collet-Klingenberg et al,
2010). The National Professional Developmental Center on Autism Spectrum Disorder
(NPDC, 2016b) also provides a matrix for implementation that specifies which skill area and age range the EBP have been shown to be effective. For instance, they list eleven
16
domains including: social, communication, joint attention, behavior, school-readiness,
play, cognitive, motor, adaptive, vocational, mental, and academic (NPDC, 2016b).
While the domains for behavior, communication, social skills, and communication have
been used here the other categories were not included due to the lack of use by many
other researchers in the field (Alexander et al., 2015; Goldstein et al., 2013; Hess, et al.,
2008; Stahmer et al., 2005; Wong et al., 2015). Available in the matrix were age levels
where a practice has been endorsed as evidence-based for students with ASD from the
following three categories: 0-5, 6-14, and 15-22 years of age. For example, extinction
has demonstrated to be an EBP for improving social skills for 6- 14-year-old students and an EBP for communication for students in all three age groups, 0-5, 6-14 and 15-22 years of age, but not an EBP for academics (NPDC, 2016b).
Table 1 Evidence-Based Programs and Descriptions for Students with ASD
Evidence-basedPractice Description
Communication Tool to initiate communication exchanges and interactions Picture Exchange Communication System (PECS) Behavior Decrease an interfering behavior and Antecedent-Based Intervention (ABI) increase engagement by modifications of the environment Cognitive Behavior Instruction that leads to control of cognitive process of behavior Differential Reinforcement Strategy that reinforces alternative (DRA/I/O/L); Reinforcement behaviors to replace undesirable behavior; purposeful ignoring of undesirable behavior; reinforcing more desirable behaviors Extinction Behaviorally based strategy that withdraws or terminates the reinforcer of an interfering behavior to reduce or eliminate the behavior; often used in conjunction with DRA
17
Evidence-basedPractice Description Functional Behavior Assessment (FBA) System in which the function of behavior is determined by the use of data collection. Response Interruption/ Redirection The physical prevention or blocking of interfering behavior with redirection to more appropriate behavior Social Skills Strategies designed to increase social Peer-mediated Instruction/ Intervention engage ment by teaching peers to initiate (PMI) and maintain interactions Pivotal Response Training (PRT) An approach that teaches the learner to seek out and respond to naturally occurring learning opportunities Self-Management A method in which learners are taught to monitor, record data, report on, and reinforce their own behavior Social Narratives Written narratives that describes specific social situations in some detail and is aimed at helping the individual to adjust to the situation or adapt their behavior. Structured Play Groups Small group characterized by modeling an activity with specific roles of the adult/teacher to scaffold the activity based on activity goals Social Skills Training (Groups) Small group instruction with a shared goal or outcome of learned social skills in which participants can learn, practice, and receive feedback. Academic Adult directed trial instruction utilizing Discrete Trial Teaching (DTT) reinforcements to teach a skill and/or reinforce a behavior Multiple Domains Use of computers to teacher academic and Computer Aided Instruction and Speech communication skills; includes computer Generating Devices tutors and modeling; academic focuses on vocabulary and grammar Exercise (ECE) Improve physical fitness and increase desired behaviors and decrease undesired behaviors Replace inappropriate communication acts with effective communication Functional Communication Training behaviors/skills (FCT) Modeling Modeling to allow acquisition of skills and generalization of skills and new behaviors Naturalistic Interventions A variety of strategies that closely resemble typical interactions and occur in natural settings, routines, and activities
18
Evidence-basedPractice Description Parent-Implemented Interventions Strategies that recognize and use parents as the most effective teachers of their children; individualized intervention to increase positive learning outcomes Prompting When the target stimulus does not provide the response a stimulus that pairs with the target stimulus to provide the desired response Task Analysis and Training Behaviorally based antecedent teaching strategy that breaks down steps and links them for prompting Time delay Behaviorally based antecedent teaching strategy that promotes errorless learning; teaches skills in the naturalistic environment with a structure in place to increase probability of desired action Scripting Verbal or written description of a model for a specific skill or situation Video Modeling (VM) Utilizes assistive technology as the core component of instruction and allows for modeling; includes basic video modeling of another, video self-monitoring, point of view video modeling, and video prompting. Visual Supports Tools that enable a learner to independently track events and activities; may allow learner to process information quickly
Note. Adapted from “Evidence-based practices in interventions for children and youth with autism spectrum disorders” by Odom, Collet-Klingenberg, et al. (2010). Preventing School Failure: Alternative Education for Children and Youth, 54(4), p. 277-278; “Using Time-Delay to Improve Social Play Skills with Peers for Children with Autism” by Liber, Frea, & Symon, 2008, in Journal of Autism and Developmental Disorders, 38(2), 312-323. 10.1007/s10803-007-0395-z; and “Evidence Based Practices” by NPDC (2014). Retrieved from: http://autismpdc.fpg.unc.edu/evidence-based-practices.
Determining EBP for students with ASD can be problematic for parents and
teachers. When guidance is provided by some popular organizations, such as autism.com
and autism-society.org, which aim at providing information directly to parents, limited
guidance was in fact offered (DiPietro, Whiteley, Mizgalewicz, & Illes, 2013;
Stephenson, Carter, & Kemp, 2011). For instance, claims made using evidence that was not cited or cited using general terms such as “research has shown” without references to
19
authors, makes it difficult for those searching for EBP to determine true EBP (DiPietro et
al., 2013, p.125). Thus, trying to distinguish true EBP from new practices may lead
practitioners to choose methods that appear to be EBP, but are not (DiPietro et al., 2013).
In addition, parents of students with ASD often combine multiple practices making it
difficult to determine the safety and efficacy of the practices (Bokwer, D’Angelo, Hicks,
& Wells, 2011). For instance, Goin-Kochel, Myers, and Macintosh (2007) found, on
average, parents of children with ASD had utilized between seven and nine practices and
were currently using between four and six practices.
EBP Training
There are several resources available for educators and parents to learn more
about EBP. The National Developmental Professional Center on Autism Spectrum
Disorders (NDPC; 2014) published modules with resources for 24 of the 27 focused interventions of EBP noted by Odom, Cox, & Brock (2013) and Wong et al. (2015) to provide information and professional development for anyone interested in supporting
students with ASD. Modules are being developed for the other three newly identified practices: scripting, cognitive behavior interventions (CBI) and structured playgroups
(NDPC, 2014).
Autism Internet Modules through partnerships with the Ohio Center for Autism
and Low Incidence (OCALI), provides free on-line modules for anyone seeking to learn
more about EBP for students with ASD and other topics related to ASD, such as
assessment (Autism Internet Modules [AIM], n.d.). These modules include topics such
as discrete trial teaching, functional communication training, other practices to utilize
with students with ASD, and medication information for students with ASD. Also
20
available are assistive technology internet modules to learn more about specific
technology uses to develop self-help and other skills.
Within the state of California, the California Autism Professional Training and
Information supports the implementation and training for individuals at the local level to
utilize EBP and assist students to access the common core state standard (California
Autism Professional Training and Information Network [CAPTAIN], n.d.). CAPTAIN
(n.d) partners with multiple agencies in an attempt to improve the use of EBP for all
stakeholders who would benefit from EBP knowledge. Currently, there three on-line trainings are available, along with annual summits and conferences.
Problem Statement
While laws were enacted to ensure EBP for students with ASD, there continues to be insufficient use of EBP or use of non-reliable methods (Cook & Cook, 2013), and some parents are becoming dissatisfied (Starr & Foy, 2012). Since EBP are mandated for students with ASD by NCLB (2002) and IDEA (2004), schools that fail to use EBP can find themselves facing costly lawsuits and due process hearings costing districts up to
$50,000 (Schopler, 1998; Yell, 2012; Yell, Katsiyannis, Drasgow, & Herbst, 2003).
Parents of students with ASD are more likely to file for due process than parents of other students with other disabilities (Burke & Goldman, 2015).
Organizations and research assist in the use of EBP, but skilled educators are also required to implement EBP effectively. While organizations provide databases with articles hoping to improve the use of EBP, educators still need to be aware of the organizations and possess the skills to make sense of the technical and complex reviews
(Hansen, 2014). As Simpson (2008) notes, “Even the most scientifically valid methods
21
are only as effective as the individuals who use them” (p. 9). Teacher skill, training, and knowledge are important factors in practice, as well as other dimensions such as motivation, outside the range of this work (Phillips, 2014; Renta-Davids, Jiminez-
Gonzalez, Fandos-Garridos, & Gonzalez-Soto, 2016; Simpson, 2008).
Educators currently do not recommend EBP to parents according to Christon,
Arnold, and Myers (2015). When educators among other practitioners working with students with ASD were surveyed about their recommendation of psychosocial EBP, the
mean rate of recommending EBP was 2.65 out of 4. While this was significantly greater
than other practitioners such as medical staff, and speech and language therapists, it
leaves room for improvement in the recommendation of self-reported EBP
recommendations. Also, noted are even rarer recommendations of EBP often occurring
under comprehensive treatment models (CTM) that deliver an entire treatment package
(Christon, et al., 2015). How well will students be prepared to become members of their
communities if educators continue to utilize unproven practices or not recommend EBP
to service students with ASD? Continuing to utilize fad and other nonEBP treatments
after evidence research supports the discontinuance of such approaches further illustrates
the research to practice gap (Lilienfeld et al., 2015). Hess et al. (2008) demonstrates that
this gap continues in servicing students with ASD with less than 30% utilizing EBP. By
utilizing EBP, educators may expect positive results for students with ASD leading to
gains in communication, behaviors, social skills, and academics.
The prevalent use of non-EBP for treating ASD symptoms contributes to the
policy to practice gap for students with ASD (Matson, Adam, Williams, & Rieske, 2013;
Simpson, 2005). Non-evidence-basedmethods can hinder the progress of EBP (Simpson,
22
2005; Matson et al., 2013). The quick fix promises, provided by some non-EBP
programs, have led educators and parents to try varying methods, such as dietary changes
(e.g. Borchardt, 2015; Dawson, 2015; Ryan, 2016) and in some instances, can decrease
the independence of students who use them (Travers, Tincani, & Lang, 2014). Students
have a finite amount of time in school and while several weeks of instruction to test a
practice seem harmless, the continued use of nonEBP can amount to permanent losses of
instructional time that accumulate to a significant loss of up to 4 weeks a year or up to 2
years over the course of a student’s academic career (Travers, 2017). The false hope
provided by using nonEBP as well as the limited time and resources of educators, can
amount to a real tragedy that also contributes to teacher burnout, teacher attrition, and frustration for the professionals utilizing unsuccessful methods (Billingsley, 2004; Chan
& Nankervis, 2015; Lilienfeld, et al., 2015; Travers, 2017).
Context for the Study
The study took place in the Inland Empire (IE) region of Southern California, which encompasses the counties of Riverside and San Bernardino inland from the beach cities, into the deserts of Palm Springs and just North of San Diego. The population of over 4 million in the IE has increased over the last decade (United States Census Bureau,
2016). The Autism Society (2017) Inland Empire chapter, which began servicing the area in the 1960s and has grown to meet the growing needs of the community, which estimates over 12,000 individuals living with ASD. As the population of the IE is estimated to continue its growth in population, the numbers of individuals diagnosed with
ASD will also continue to rise (United States Census Bureau, 2016). The Southwest
23
Autism Task Force (SATF) was developed in 2010 to meet the growing crisis in the IE to address the following concerns:
• ASD is the fastest growing developmental disability in the U.S.
• ASD receives less than 5% of the research funding of other childhood
• These is no cure for ASD, but early intervention and diagnosis show
promising results
• More children are diagnosed with ASD than diabetes, AIDS, and cancer
combined (League of California Cities, 2014).
The SATF promoted public awareness of ASD by creating a resource guide for services, including evidenced-based practices that show research support, and providing services to allow individuals the necessary supports to transition into adulthood (League of California Cities, 2014). Despite organizations in the IE and across the U.S. promoting the use of research-based programs for the treatment of symptoms of ASD, there remains an underutilization of these programs in the United States (Autism Society,
2017; Hess et al., 2008; Odom, Boyd, et al., 2010; Odom, Collet-Klingenberg, et al.,
2010; Wong et al., 2015).
This study aimed to expand upon prior research on the use of EBP for students with ASD by special educators. In the past, educators in the IE have demonstrated a lack of knowledge of EBP. For instance, educators in a study by Stahmer et al. (2005) reported they used five practices consistently that were not considered EBP for students with ASD and they reported they did not consult educational journals for clarification on
EBP. Since 10 years have passed since the 2005 study by Stahmer et al., another
24
examination is warranted to determine the current usage of EBP for students with ASD and the sources educators consult to support the use of EBP in their classrooms.
Purpose Statement
The purpose of this study was to determine the most widely used EBP and nonEBP for students with ASD in the Inland Empire (IE), specifically in the areas of communication, behaviors, social skills, and academic deficits. The researcher was interested in discovering how special educators defined EBP strategies and what resources they utilized to identify EBP strategies for instructional purposes.
Research Questions
The following questions guided this study:
• How did special educators in the Lemon School district define EBP for students
with ASD?
• What sources did they use to incorporate EBP for students with ASD?
• What EBP and nonEBP for students with ASD did special educators use were
EBP to address communication, behavior, social, and academic deficits and did
they believe the practices were EBP?
Definition of Terms
• ASD (Autism spectrum disorder)- A manifestation of delays in social,
communication, and restrictive and repetitive behaviors (APA, 2013a).
• Evidence-based practice (EBP)- “Programs or practices shown by sound research
to meaningfully and positively impact student outcomes” (Cook, Tankersley, &
Landrum, 2013, p. 3).
• Fidelity- The “extent to which the innovation (practice) corresponds to the
25
originally intended program (a k a adherence, compliance, integrity, faithful
replication)” (Durlak & DuPre, 2008, p. 329).
• Free Appropriate Public Education (FAPE)- Education services that have been
provided at public expense, without charge under an educational program (IEP)
that meet California educational standards at an appropriate elementary school
(IDEA, 2004).
• Implementation- Use of a practice by group of participants (Durlak & DuPre,
2008).
• Inclusion: “Provide appropriate educational opportunities and supports to students
with the full range of disability characteristics and levels in chronologically age-
appropriate, general education classes those students would attend if they were
not labeled disabled” (Giangreco, Sutter, & Hurley, 2013, p. 122).
• Intervention- Treatment program that may or may not meet EBP criteria
• Least Restrictive Environment (LRE)- To the extant appropriate children are
educated with peers who are not disabled and students with disabilities are not
removed from the general education environment unless the severity of the
disability with the inclusion of aides and services cannot satisfactorily be
achieved (IDEA, 2004).
• Special educators- educators who are certified by the state of California to
conduct educational assessments, plan and implement instruction, develop
transitional plans, provide positive behavior supports, collaborate in an IEP, and
develop communication and social skills with students (California Commission
on Teacher Credentialing [CTC], 2017). This excludes service providers such as
26
adapted physical educators (APE), occupational therapist (OT), and speech and
language pathologist which require a separate added authorization or provide a
service in one particular domain (CTC, 2017).
Assumptions
The author made the following assumptions:
• Students were appropriately diagnosed with ASD with identifying assessments.
• Special educators held the correct credentialing under California law to service
students with special needs and the appropriate ASD authorization.
• Special educators were familiar with the laws requiring EBP.
• The respondents were knowledgeable about EBP and answered the survey
honestly.
Only those who met the criteria for participation were sent the survey and included in the
results.
Limitations
While attempts were made to adhere to standards of rigorous research, several
limitations of this study were present. The district where the research took place was the
recipient of a grant from the NPDC (n.d.) aimed at providing education for EBP for ASD.
This may have increased the use of EBP that other districts in the area may not have
experienced. The survey used to report the findings also had limitations. While the validity of the Autism Treatment Survey (ATS) was demonstrated the modified version of the ATS utilized in this study, did not undergo the same level of rigorous review. The modified survey was reviewed by three dissertation committee members and was then pilot tested and refined to enhance the clarity of the instrument. Another limitation was
27
the fact participants provided self-reported data. Since no observations were completed,
there is no way to verify the accuracy of participants’ reported use of each EBPs.
Furthermore, the study did not explore the fidelity of the respondent’s use of EBP for
students with ASD and as Durlak and DuPre (2008) acknowledge, some adaptions of
EBP are expected for successful implementations. Finally, due to the timing of the study, there was a low response rate. Thus, the results may not accurately convey the responses of all special educators within the district.
Generalizability
The results of this study are most likely to apply to the Lemon school district, and similar districts with similar demographics. As well, this study only investigated special educators’ practices, which may differ from general education teacher practices. Finally, this study explored the EBP used by elementary and adult special educators which may differ from those working in middle and high school settings.
Significance
The use of EBP for students with ASD addresses two significant issues in education (Cook et al., 2013). Cook et al., (2013) postulates that if EBP for students with
ASD are not currently in use, the implementation of EBP will likely increase the academic achievement of students. Secondly, by understanding the current definitions and practices of special educators, policies can be developed and training can be provided to address the needs of educators to assistant in implementation of EBP (Aron & Loprest,
2012).
Summary and Organization of this Study
Chapter 1 reviewed the criteria for a diagnosis of ASD, presented educational
28
policies regarding instruction of students with disabilities, discussed the policy to practice gap and provided background on EBP. Chapter 2 describes the decision-making process of teachers using equity, caring, and competency as a framework for understanding how special educators can better support students with ASD. The chapter discusses special educator preparation and then describes the methods used to evaluate research and identify EBP to support the behavior, communication, social skills, and academic needs of students with ASD. The chapter ends by discussing classroom implementation of EBP for students with ASD, describing sources of information and training for EBP. Chapter 3 provides the methodology for the study and Chapter 4 reviews the results. Lastly,
Chapter 5 discusses the results and offers recommendations for policy, administrators, and educators for EBP for students with ASD and advice on study designs for further research in the field.
29
CHAPTER 2: LITERATURE REVIEW
As the proverb states, it takes a village to raise a child. Educators function as a
team to provide for the education of all students. Teachers are responsible for what
happens inside the classroom and spend most of their time with students; therefore, it is
important to foster positive teacher-student relationships and provide a school culture
where students are valued. It is also important to foster a positive school environment,
with educators who are competent to do so (Sergiovanni, 1979; Sergiovanni, 2004a;
Sergiovanni, 2004b). This study considered the competency of teachers and their use of
caring and equity in their decision-making as a framework for understanding how teachers can better support students with ASD. This literature review begins by presenting this framework and then discussing how practices are established. It continues by presenting EBP for students with ASD under the categories of communication, behavior, social skills, and academics and discussing commonly-used practices that have not been established as EBP under the same categories. The chapter concludes by examining the current implementation of EBP for students with ASD and identifying needs for further research.
Equity, Caring, and Competency
The decision-making process of teachers that focuses on teacher equity, caring, and competency provides the framework for understanding how special educators can better support students with ASD. Figure 1 shows how these three areas interact with knowledge of EBP at the center of the decision-making process to inform the practices teachers select for students with ASD.
30
equity
caring EPB
competency
Figure 1. Decision making process of teacher competency, utilizing equity, and caring to inform EBP use Equity
As described in Chapter 1, special education policy has been driven by recent legislation that requires rigorous instructional practices and accountability (Thorius &
Maxcy, 2015). Despite legislation aimed at increasing equity, and macro-level policies,
such as the Science Reform Education Act (2002), NCLB (2002), and IDEA (2004),
districts and schools do not consistently recommend inclusive environments (Farrell,
2004; Thorius & Maxcy, 2015; Welner, 2001; U.S. Department of Education, 2016).
Inclusion improves social, cognitive, and communication functioning (Sansosti &
Sansosti, 2012; Stahmer & Ingersoll, 2004). A main concern is that inclusive
environments continue to remain underutilized for students diagnosed with ASD (U.S.
31
Department of Education, 2016). Although the general education classroom (often called
regular) is most often considered the ideal placement (IDEA, 2004; Thorius & Maxcy,
2015; Yell & Katsiyanni, 2004), students with ASD are often educated outside of the
general education environment (U.S. Department of Education, 2016). According to the
U.S. Department of Education (2016), 39.9% of students with ASD are serviced in general education settings at least 80% of the school day. As shown in Table 2, the other
60.1% spend less than 80% of their time in the general education environment or in other environments such as separate schools, residential facilitates, home/hospital, correctional facilitates, or parent placements in private school environments (U.S. Department of
Education, 2016). Despite the emphasis on inclusion, Carson (2015) cautions educators
to consider the students’ needs to determine if an inclusive environment is the most
appropriate. Also, Carson (2015) criticizes the common practice among educators and
individualized education program (IEP) members of determining placement based on the
availability of services, instead of determining placement based on a student’s needs.
Table 2 Percentages of Students with ASD Serviced in General Education or Other Environments
80% or more of 40-79% of time Less than 40% of Other
their time in spent in General time spent in Environments
General Education Education General Education (No Gen. Ed.)
Percentage 39.9 18.0 32.8 9.2
Note. Adapted from: 38th Annual Report to Congress on the Implementation of the Individuals with Disabilities Education Act, 2016. U.S. Department of Education.
Educator partiality provides the foundation for an IEP team to ensure that one
perspective does not sway the entire team’s decisions and multiple points of view are
32
included in the decision-making process. One way to ensure the LRE and equitable decision-making is through a necessity-based approach. According to Carson (2015), this approach requires making available the necessary accommodations and modifications that lead to the LRE. Like Carson (2015), Crockett (2014) advocates for a student’s necessary needs to be decided first, and then the placement and practice decisions should be made to meet those needs. That way, schools do not choose the placement based on the available options (Crockett, 2014). Limiting placement and treatment decisions to student needs ensures that program and treatment options benefit students with ASD. As advocated by Saban (2011), educators need to be aware of their partiality when forming decisions. They also need to acknowledge laws, equity concerns, and utilize social justice in their decision-making. By providing for inclusive education training for all teachers, all educators can be prepared to increase participation and decrease exclusion for students with disabilities (Florian, 2012). By collaborating with general educators, parents, principals, and special educators, the foundation for developing and selecting the best available treatment programs and placements can be created for students with ASD
(Able, Sreckovic, Schultz, Garwood, & Sherman, 2014).
Caring
Caring educators offer resiliency to obstacles of social justice and equity.
Noddings (2012b) encourages educators “to learn what the cared-for is going through,
[by] put[ting] aside our own projects and listen” (p. 4). By listening, to what an individual in the IEP team says, the listener gains a more thorough understanding, so the educator can better respond to the needs and concerns expressed in the multidisciplinary team, including the parent and student by making an informed decision for which
33
practices to utilize (Noddings, 2012a; 2012b). Marks (2011) emphasizes the goal of
special educators should be for a quality life for their students:
Special educators need to let the public know that we aren’t engaged in charity
work, but that we’re doing serious work guided by a vision of a society in which
individuals are provided with equity and opportunities to be fully integrated
members in our communities. We must move beyond teaching basic self-care
skills to teaching about self-determination and self-advocacy. (p. 80)
Eccleston (2010) believes special educators are required to be collaborators in
today’s inclusive classrooms. He further explains that they need to possess knowledge,
thoughtfulness, compassion, and leadership. He emphasizes that educators should listen
and that the face time of collaborative efforts cannot be underrepresented. While barriers exist to collaboration such as time and motivation, collaboration has many benefits that make it a viable option for teachers in special education (Eccleston, 2010; Ware, 1994).
Farrell’s (2004) definition also included the quality of the participation, not just time
spent with general education peers. For instance, Farrell (2011) called attention to the fact that some schools were celebrated for their inclusive practices while little to no
interaction between special education and general education students took place (Farrell,
2004). For instance, students with special needs were serviced in separate classrooms on
the same campuses as general education students. According to Farrell (2004), for
inclusion success “all pupils must actively belong to, be welcomed by and participate in a
mainstream school and community-that is, they should be fully included” (p. 7).
Inclusion support findings for students with ASD by improving social functioning
measured by peer interactions, cognitive functioning measured by increased intelligent
34
quotient (IQ), academic skills, and communication skills, such as the use of pragmatic
language, phrases, and single word use (Sansosti & Sansosti, 2012; Stahmer & Ingersoll,
2004). Communication, therefore, becomes the forefront of a caring special educator
(Eccelston, 2010).
Special educators must continue to collaborate to widen their understanding of
interventions with a research based practices that may benefit students with ASD who do
not always benefit from the interventions of typically developing students (Bruhn, Gorsh,
Hannan, & Hirsch, 2014; Gresham, Van, & Cook, 2006; Mesibov & Shea, 2010;
Sansosti, 2010). Durksen, Klassen, and Daniels (2017) identify collaboration as a key
factor in the motivation for continuing professional learning.
Competency
Teachers develop their competency through training that falls under two
categories. The first category is pre-service programs that occur during the credentialing
stage. The second category is professional development that typically occurs via district
in-service. Each of these categories are described below.
Teacher pre-service preparation. Teacher preparation programs are designed to
meet NCLB’s (2002) and now ESSA’s (2015) highly qualified requirements. In order to teach special education in California, teacher candidates must obtain a Preliminary
Education Specialist Instruction Credential in a specialist area such as Mild/Moderate
Disabilities (M/M) or Moderate/Severe Disabilities (CTC, 2016). To achieve this preliminary instruction credential and earn their highly qualified status, candidates must complete the following six requirements:
1. Obtain a baccalaureate degree from an accredited institution
35
2. Satisfy basic skill requirements such as the California Basic Elements
Skills Test (CBEST) and other examinations
3. Verify subject matter competency through an examination or coursework
4. Pass the Reading Instruction Competence Assessment (RICA)
5. Complete a course or exam about the U.S. Constitution
6. Complete an approved credential (CTC, 2016).
An authorization to teach students with ASD is also included in the coursework and appears on the Education Specialist Instruction Credential as a separate authorization after June 2010 (CTC, 2016). As defined by the Commission on Teacher Credentialing
[CTC] (2010), the ASD authorization permits:
The holder is authorized to conduct assessments, provide instruction, and
special education related services to individuals with a primary disability of
autism across the continuum of special education program options at the grade
and age levels authorized by the prerequisite credential. (p. 2)
Former Education Specialist Instruction Credentials in moderate to severe disabilities
(M/S) and those credentials earned after June 2010 include the ASD authorization based on course work designed to prepare educators to instruct students with ASD (CTC,
2012). Otherwise, those who did not complete the required coursework covering ASD were able to obtain one year waivers at an employers’ request (CTC, 2016).
Finally, to achieve a Clear Education Specialist Instruction Credential, a beginning teacher must complete an approved induction program geared for special educators, typically during the first two years of service as an educator (CTC, 2016). The
36
induction program must provide sufficient resources to novice educators and meet
program design standards (CTC, 2016):
• Program rational and design
• Communication and collaboration
• Support providers and professional development providers
• Formative assessment systems
• Pedagogy
• Universal access, equity for all students
• Standard six highlights the needs of students with special needs and offers
support for implementing accommodations and modifications
Standard six addresses the equity and caring components of the aforementioned
framework surrounding the needs of students with special needs and offers support for
implementing accommodations and modifications (CTC, 2008).
Program quality. Despite assurances of adequately preparing educators for teaching, several researchers have highlighted limitations of preparation programs. Winn and Blanton (2005) found preparation programs were deficient in effectively preparing teachers for collaboration, and in understanding legal requirements and the eligibility classification system (U.S. Department of Education, Office of Postsecondary
Education, 2016). Holdheide and Reschly (2008) noted that there is a lack of EBP knowledge provided to both general and special educator candidates in educator preparation programs and recommended that skills in the areas of learning strategies, classroom organization, behavior management, and scientifically-based reading instruction need to be further developed in teacher preparation programs.
37
Barnhill, Polloway, and Sumutka (2011) investigated pre-service preparation practices specifically geared toward servicing students with ASD. After surveying institutes of higher education (IHE) analyzing the breath of course work and depth of topics on ASD, they found 51% IHE respondents indicated their programs did not offer pre-service training in ASD. Of the programs that offered course work in ASD, 75% were developed in the last one to seven years. Topics covered in depth in their programs included: (a) behavior intervention plans, 69%; (b) functional behavior assessments,
67%; (c) positive behavior supports, 67%; (d) assessment procedures and methods, 63%;
and (e) characteristics, definition and causes of ASD, 52%. Between one third and one
half of the IHEs reported in depth training on collaboration with parents and other
professionals, visual supports, and discrete trial training, with an overview provided for
the majority of specific intervention skills such as Floortime, Communication System
(PECS) as well as legal implications in the field. Though specific interventions were
discussed, no information was provided regarding the research-based evidence of the practices. Barnhill et al. (2011) also uncovered the majority of IHEs developed their own programs independently from the state which accounts for the large variation in
ASD preparation programs.
Changes over the last decades in beliefs about what teachers should know and be able to do have affected both pre-service teacher preparation programs and professional development (Brownell, Sindelar, Kiely, & Danielson, 2010; Forzani, 2014). Brownell et al., (2010) details the previous emphasis of pre-service coursework on disability specific knowledge and intervention, but now coursework focuses on how students should be
educated. Brownell et al. (2010) suggests a shift to assessment and effective instructional
38
models, or EBP. Both Forzani (2014) and Brownell et al. (2010) emphasize collaboration that must be present for general as well as special educators in the current academic climate and believe it must be part of any preparation program for educators. The next section, describes ensuring professional development teachers.
Effective professional development. Professional development (PD) is the continuing education of teachers typically offered within districts. In their book
Managing Professional Development Education, Glover and Law (2012) summarize research on professional development and emphasize effective PD meets four needs:
• Individual needs- developing the skills and knowledge to teach effectively
and grow as a professional;
• Departmental, year or group needs- developing common approaches and
sharing expertise within a team situation;
• Whole institutional needs-establishing common value which determine
common values for the school; and
• Multi-institutional needs which can be interrupted as groups of schools
working together to meet a common need or goal. (p. 31)
Glover and Law (2012) also provide case studies to address each of these needs.
To institute a change in practice, or to encourage a new practice to be utilized, professional development (PD) needs to address change models. Pfeiffer and Sutton
(2000) coined the term the knowing-doing gap to describe that just knowing about a phenomenon does not automatically translate to implementation. Hannay and Earl
(2012) suggest teachers must change their practices and mindset from a make and take mentality to one that contains a social component required to change teacher practices in
39
the 21st century (Dede, 2010). Necessary for success now are skills in collaboration, communication, critical and innovative thinking, and creativity (Dumont, Istance, &
Benavides, 2010; Hannay & Earl, 2012). Additionally, change is difficult because it
“expects that teachers challenge and reconstruct deeply embedded practices and beliefs”
(Vetter, 2012, p. 27). Hannay and Earl (2012) relate that some teachers must change their practices in order to adopt new program(s) into their schema. Those individual operators must unlearn the previous individual mentality and reconstruct their thinking with the new social and collaborative model (Hannay & Earl, 2012). Training, or PD, institutes changes in practices, including implementation of EBP for students with ASD (Odom,
2009).
Researchers evaluate the effectiveness of professional development based on the implementation (use) and effectiveness (quality) of targeted practice(s), and the terms they use to describe these aspects vary. Dane and Schneider (1998) referred to implementation as efficacy and effectiveness as fidelity. O’Donnell (2008) also referred to implementation as efficacy or use of a practice, but used effectiveness, rather than fidelity, to describe the quality of the implementation of the practice. For example, the efficacy for EBP for students with ASD would be the percentage of special educators using the practice, although efficacy could also be used to describe how often an individual uses an EBP. Whereas, the effectiveness of EBP for students with ASD would be the extent special educators are utilizing EBP as they were designed. Durlak and
DuPre (2008) defined implementation as the use of a practice within a set of educators and fidelity as the extent to which the practice is implemented as intended; their definition has been used by other researchers (Nilsen, 2015; Odom, Boyd et al. 2010; Stirman,
40
Kimberly, Cook, Calloway, Catro &, Charns, 2012) and will be used in this study. Durlak
and DuPre (2008) emphasized that PD evaluator should also consider features such as
quality, program reach, and adaption. Durlak (2015) added although implementation is
complex because of the many features, it is an “essential field of inquiry for
understanding what happens when evidence-based programs are brought into new
settings” (p. 1126).
Durlak and DuPre’s Implementation Model
Durlak and DuPre (2008) identified 23 factors that influence the implementation of practices in a meta-analysis that was organized by community, provider characteristics, characteristics of the innovation, organizational capacity, and factors related to the prevention support system, highlighted in Table 3. Especially noteworthy, is the authors’ definition of successful implementation occurring between 60-80% within the timeframe or percentage of a group that used a practice with fidelity, meaning they used the practice as originally intended (Durlak & DuPre, 2008). The authors clarified use and fidelity are not expected to reach 100% since adaptions are necessary to make practices work in varying settings (Durlak & DuPre, 2008). Fixsen, Naoom, Blase,
Friedman, and Wallace (2005) agreed and suggested a 60% rate of use within a group of practitioners with fidelity for EBP implementation. The factors affecting use and fidelity of implementation, presented in Table 3, interact and overlap to influence the implementation rate and fidelity of implementation of the practice (Durlak & DuPre,
2008).
41
Table 3
Factors Affecting Implementation
Community Provider Characteristics Organizational Factors Related Factors (Individual) of the Capacity to the Characteristics Innovation Prevention Support System Prevention Perceived Need Compatibility General Technical Theory and of Intervention Organizational Assistance Research Factors Politics Self-Efficacy Adaptability Specific Staffing Training Considerations
Funding Perceived Benefit Specific Practices of Intervention and Processes Policy Skill Proficiency Note. Adapted from “Implementation Matters: A Review of Research on the Influence of Implementation on Program Outcomes and the Factors Affecting Implementation” by Durlak, & DuPre, 2008, American Journal of Community Psychology, 41, p. 327-350. http://dx.doi.org/10.1007/s10464-008-9165-0. Copyright Springer Science+Business Media, LLC 2008.
Community factors. According to Durlak and DuPre, (2008), various community
and organizational factors contribute to the implementation rate of a practice. Politics,
such as laws, availability of funding to support practices, and the social policy for
implementing new procedures, either help or hurt the implementation of a new practice.
Laws such as NLCB (2002), IDEA (2004), and the Science and Education Reform Act
(2002) all contributed to the introduction of EBP for students with ASD in California
schools. Features such as cost and availability of the research make some practices more
likely to be implemented then others (Dingerfelder & Mandell, 2011). Funding,
especially for expensive discrete trial style practices, influenced how and what practices
that schools utilized (Yell & Katsiyanni, 2004).
Characteristics of the individual. Durlak and Du Pre (2008) added an
individual’s recognition of need, perceptions of the benefits of the implementation, self-
42
efficacy, and skill proficiency greatly impact implementation (Durlak & DuPre, 2008).
Educators are not likely to use EBP when they do not believe they can use them and think
they do not have the skills to use them effectively (Aaron, 2005; Durlak & DuPre, 2008).
As defined by Bandura (1995), self-efficacy is the belief that one is able to execute a course of action. Self-efficacy also effects implementation of educators (Durlak &
DuPre, 2008). Concurrent with other research on self-efficacy, acceptability and PD
impacted the implementation process of EBP (Donnell, & Gettinger, 2015; Odom, 2009).
Other factors are a teacher’s characteristics, motivation and willingness to be trained and
to utilize programs (Durlak & DuPre, 2008, Hall & Hord, 2014) available time, knowledge of EBP, and skills and trust in the program (Cook & Odom, 2013; Fixsen et al., 2005).
Characteristics of the innovation. Durlak and DuPre (2008) demonstrate that the
innovation itself may offer barriers or ease depending on the adaptability of the practice
to match the current organization’s agenda. Those innovations with greater flexibility to
become adaptable to the current organization will increase implementation. Thus, EBP
that are adaptable for classroom use may be implemented faster than other practices.
Knowledge of the reason why one should use an EBP for students with ASD that aligns
with norms in the classroom setting, also contributes to the use of a practice (Durlak &
DuPre, 2008; Frederickson & Cline, 2009). Thus, a student’s characteristics influence if and how the teacher adapts EBP for the student (Durlak & DuPre, 2008; Frederickson &
Cline, 2009; Lubas, Mitchell, De Leo, 2016).
Dingerfelder and Mandell (2011) add that advantage, compatibility, and the complexity of the practice as it is introduced also contribute to whether a practice will be
43
implemented. Advantage describes how well the practice fits with the current
organizational structure and needs of the organization (Dingerfelder & Mandell, 2011;
Durlak & DuPre, 2008; Greenhalgh, Robert, MacFarlane, Bate, & Kyriakidou, 2004).
Compatibility refers to how well the practice fits in with the current belief system of the
organization. Finally, complexity or how difficult it is to use the practice, determines if a
practice is used (Dingerfelder & Mandell, 2011; Greenhalgh et al., 2004).
Organizational capacity. Furthermore, organizational features, such as shared
decision making with community input, along with effective leadership before, during,
and after a change has occurred, increase the likelihood of sustaining the change (Durlak
& DuPre, 2008). Kam, Greenberg and Walls (2003) maintain that EBP implementation efforts are improved when principals and other administrators support these efforts.
Fixsen et al. (2009) offer in their framework for states and other agencies that structures
to support implementation need to be in place. Fixsen et al. (2009) recommend that
states and others, such as districts, provide teams to provide internal support, but also
outside monitoring, or external support, to provide feedback and data to facilitate the
implementation. Communication is also essential in their framework for implementation,
with data traversing between the practitioners and managers (Fixsen et al., 2009).
Factors related to the prevention support system. The factors related to the
prevention support system features are things that are done “to prepare providers
effectively for their new tasks” (Durlak & DuPre, 2008, p. 338). Training and technical
assistance is often needed to continue to support implementation (Durlak & DuPre,
2008). According to Fixsen, Blase, Naoom., & Wallace (2009), “[Educators, or
practitioners] are accountable for “making it happen”: for assuring that effective
44
interventions and effective implementation methods are in use to produce intended
outcomes for children and families” (p. 215). Supports for training are required to
successfully implement EBP (Fixsen et al., 2009), and technical assistance resources need
to be in place once an implementation has begun (Durlak & DuPre, 2008). The lack of technical assistance, as well as the burden of the programs themselves, such as the lack of adaptability or compatibility, can limit EBP use (Dingfelder & Mandell, 2011; Durlak &
DuPre, 2008; Lerman, Vorndran, Addison, & Kuhn, 2004; Simpson, 2003).
Other PD models. There are a few other noteworthy models for supporting the
use of EBP. Durlak and DuPre (2008) recommended enlightened professional
development approaches as a model for PD for educators working with students. This
enlightened PD includes training that provides: modeling, role play, collaboration, shared
decision making, emotional support, and performance feedback. Odom’s (2009) model
includes: teaming, coaching and consultation, communities and practice, online
instruction, web based video and visual access, and web based interactive system to
increase fidelity of implementation of EBP for students with ASD.
Fixsen et al. (2005), Fixsen (n.d.), and the National Implementation Research
Network (NIRN) also created a framework for PD. They included five features of their
framework for implementing EBP:
• Sources- best example, of the practice
• Destination- individual educators using the practice
• Communication link- group of individuals that work toward the
successfully use of EBP with fidelity
• Feedback-information and performance flow
45
• Influence. (p. 12)
Fixsen et al. (2005) illustrated that the quality of the practice operates independently of
the implementation process and offered four stages of implementation in the following
order: (1) Exploration, (2) Installation, (3) Initial implementation, and (4) Full operation.
Exploration is the beginning stages of development when educators begin to investigate
the practice (Fixsen et al., 2005). Next, installation includes setting up systems to begin
using the practice (Fixsen et al., 2005). Then initial implementation occurs and the fear
of change, anxiety, and the struggles that occur during implementation may cause the
practice to fail. In the final full implementation phase, the practice is fully integrated
(Odom’s et al., 2013). As implementation is a process and not an event, it takes time for
implementation to occur with fidelity (Fixsen et al., 2005).
Implementation following PD.
Several researchers have documented EBP implementation following EBP PD.
Lerman et al. (2004) found after completing a five-day consecutive workshop for four
hours to learn skills in prompting, fading, communication, and reinforcement, the
educators demonstrated over 60% of users utilizing the skills and improved effectiveness outcomes for most participants. Suhrheinrich et al., (2012) and Stahmer et al., (2015)
demonstrated that with increased hours of training and coaching teachers can use
evidence-based practices (EBP) with fidelity, as designed by creators (Durlak & DuPre,
2008). The hours necessary to achieve competency vary by the practice. Some teachers
required many hours and several years to achieve fidelity to an EBP with less structured
programs (Stahmer et al., 2015). For example, programs such as discrete trial teaching
(DTT) are highly structured because they include specific steps, procedures, and require
46
little teacher judgment (Stahmer et al., 2015). Educators acquired structured skill
programs quickly (Stahmer et al., 2015). Less structured activities, such as pivotal
response training (PRT) that requires more personal judgment and a more naturalistic
setting, were possibly more difficult for teachers to implement in a classroom
environment and took longer for teachers to implement with fidelity (Stahmer et al.,
2015; Suhrheinrich et al., 2012). In fact, some teachers in training opted not to attempt
the practice of PRT entirely in its first year of implementation (Stahmer et al., 2015).
Other training in EBP, investigated by Kretlow, Cooke, and Wood (2012), provided
initial training in EBP, and follow-up demonstrated that teachers were able to increase the
use of EBP with fidelity.
In conjunction with the NPDC, Odom et al. (2013) developed a two-year
implementation model and PD in EBP for students with ASD for educators. In their model, during the first-year of implementation, educators create goals and an action plan with teams. Then, they take an online course with an intensive summer workshop with
NPDC staff. Next teachers begin implementation of the model by linking students’ goals with EBP and begin data collection. A coach provides ongoing assistance into the second year. Online training and summer institutes end year two with support continuing for fall
implementation and goal attainment. For the EBP reviewed, all, but PRT, saw an
increase in use and fidelity as noted by observations by as much as 20% or more using
this model. Next, ways that research is evaluated to determine support for EBP for
students with ASD is discussed.
47
Evaluating Research for Evidence-Based Practices
The next section describes methods that have been used to evaluate research and
identify EBP, followed by a critique of the current system and recommendations for
future practice. Understanding scientific evidence is necessary to fully understand EBP.
As noted by Travers (2017):
…A general understanding of the features of science and pseudoscience,
common errors in thinking, and a systematic approach to examining
claims is crucial for professionals, intent on adhering to an evidence-based
profession. (p. 202)
Pseudoscientists make sensational claims, ignore oppositional evidence to their
beliefs, choose to include only evidence that supports their claim, use vague language to
prevent verification, avoid criticisms and condemn dissenting opinions (Travers, 2017).
On the contrary, scientists evaluate and critique research used to determine EBP. As
previously discussed in Chapter 1, the Education Sciences Reform Act (2002) set forth
methods for evaluating EBP. Following, several organizations and researchers began to
set forth criteria for determining EBP, such as reliability and validity measures for
determining EBP. Their methods for evaluating EBP are discussed next and assist
educators in determining which practices have a true scientific basis to be determined as
an EBP. Multiple evaluative methods such as checklists are becoming available to help
educators identify EBP. Yet, there is no single set of agreed upon standards for
determining EBP for students with ASD (Odom, Collet-Klingenberg et al., 2010;
Travers, 2017).
48
What Works Clearinghouse
In 2014, the What Works Clearinghouse (WWC) was developed to provide a
body of research to assist educators in identifying EBP. The WCC does not conduct studies; instead, it reviews literature on interventions to determine the merits behind the practice (WWC, n.d.b). According to WWC (n.d.a), “Not all education research is equal.
Identifying well-designed studies, trustworthy research, and meaningful findings to
inform decisions and improve student outcomes can be tricky” (p. 3). WWC (2014)
developed a rating scale to evaluate study designs and recommend EBP based on a set of
study design standards staff developed. In order to be considered for evaluation, a study
must be peer reviewed, though they do not limit their inclusion to journal articles (WWC,
n.d.a). The study must also employ one of these four types of study designs: (a)
randomized controlled trials, (b) quasi-experimental with a comparison group, (c) regression discontinuity designs, and (d) single case designs (not single case studies with a single individual). Studies with random assignments receive the highest ratings, while quasi-experimental designs, or those with design issues or flaws (e.g., high attrition rates) can only meet the EBP standard with reservations (WWC, 2014). Other quasi- experimental designs, such as non-matched pairs using two schools not accounting for other characteristics (e.g., socio-economic status or gender), can only receive meets standards with reservations due to the generalizability and the possible cofounding factors found within the study designs (WWC, 2014). Some factors that contribute to a does not met standards rating include attrition, confounding variables, face validity, and reliability (WWC, 2014).
49
Not until 2010 did the WWC acknowledge single case study designs in a report by Kratochwill et al. (2010). In their report, they outlined goals and threats to internal and external validity like replication. They established three criteria for establishing practices: Meets Evidence Standards, Meets Evidence Standards with Reservations, or
Does Not Meet Evidence Standards. For single case studies to attain Meets Evidence
Standards it must provide an independent variable. The study must also be measured by more than one accessor within a 20% variance over at least three points in time, with at least 5-6 data points and five or more phases. Items that do not meet these criteria are categorized as Does Not Meet Evidence Standards for fewer than four data points and four phases or Meets Evidence Standards with Reservations for three data points and less than four phases.
WWC (2014) rates studies based on their reliability (i.e., the consistency of the measurement and ability to repeat the findings), validity (i.e., the accuracy of the measure and applications to others or generalizability of findings), and whether they were completed in single or multiple settings. Without reliability, a study cannot be considered valid (Creswell, 2012). Scott and Morrison (2005) add that to meet validity standards a study should be able to be replicated in real life settings. Yet, determining replication is difficult to attain in school settings because students are not randomly assigned to schools and differing classroom conditions (Odom, Collet-Klingenberg et al., 2010; Reichow, et al., 2008).
Once studies have been deemed reliable and valid, WWC (2014) rates interventions as having as a strong evidence base, moderate evidence base, or minimal evidence base based on having (a) a positive effect, (b) a potentially positive effect, (c)
50
no discernable effect, (d) a mixed effect, (e) a potentially negative effect, or (f) a negative effect. Finally, an improvement index score is given in the form of a percentile “which can be interpreted as the expected change percentile rank for an average comparison
group student if the student had received the intervention” (WWC, 2014, p. 10). For
example, a 10-percentile rank score could be interpreted in an expected outcome of a 10
percent gain in scores (WWC, 2014). While a positive effect or determination of a strong
evidence base does not guarantee results for every student in every setting, practices that
meet these high standards demonstrate a high likelihood of success (WWC, 2014).
Although the WWC (2014) sets high standards for EBP, it has been criticized for
not evaluating many studies utilizing the quasi-experimental designs that are often used
to conduct research on students with ASD, such as single case studies as well as not
exclusively addressing students with ASD (Odom, Collet-Klingenberg et al, 2010;
Simpson, 2005). Single case study standards have recently been developed, but they are still in the pilot stages and require more research before they can be utilized (Kratochiwill et al., 2010). IEP placements, school locations that meet LRE, and other factors for students in special educational settings make meeting the WWC (2014) criteria difficult for the ASD population. Furthermore, EBP developed from the general population are problematic when applying the results to children with ASD, because their needs differ
(Mesibov & Shea, 2010). Since typically developing students may show improvements in a program that has little or no effect among students with ASD, research must include students with ASD in the design in order for an intervention to effectively be determined an EBP for this population (Mesibov & Shea, 2010).
51
Best Evidence Encyclopedia
Another entity that has evaluated EBP is the Best Evidence Encyclopedia (n.d.) a partnership between the Johns Hopkins University School of Education's Center for Data-
Driven Reform in Education (CDDRE) and the Institute of Education Sciences U.S.
Department of Education. The Best Evidence Encyclopedia “intended to give educators and researchers fair and useful information about the strength of the evidence supporting a variety of programs available for students in grades K-12” (Best Evidence
Encyclopedia, n.d., para. 1). Best Evidence Encyclopedia’s (n. d.) inclusion criteria for evaluation are similar to WWC (2014); it focuses on studies with control groups and experimental groups as well as studies that take place at least over a 12-week period.
While it does not focus exclusively on studies on student with ASD, it includes studies that focus on achievement outcomes (Best Evidence Encyclopedia, n.d.). It also provides a rating system for the effectiveness of a practice based on effect size and sample size with the most beneficial evidential practices receiving a rating of strong evidence of effectiveness and the next a moderate level of effectiveness (Best Evidence Encyclopedia, n.d.). Those with the weighted mean between positive .10 and .19 or an insufficient sample size receive a rating of limited evidence of effectiveness, strong evidence of modest effects, limited evidence of effectiveness, or weak areas with notable effect (Best
Evidence Encyclopedia, n.d.).
Evaluative Method for Determining EBP in Autism Tool
Additionally, Reichow, Volkmar, and Cicchetti (2008) created an Evaluative
Method for Determining EBP in Autism tool to evaluate group and individual case study research specific to students with ASD. The tool includes a checklist to rate the overall
52
effectiveness of the research method, based on rigor, strength, and standards for the method. An overall score is then assigned to the research based on strong, adequate, or weak evidence as described below:
• Strong research - must receive a high rating on all the primary quality indicators,
besides the primary areas, they meet secondary quality characteristics in at least
four areas from secondary indicators
• Acceptable research - at least four primary indicators must be met and at least two
secondary indicators
• Weak research - less than four primary indicators and less than two secondary
strength indicators
As part of Reichow’s et al., (2008) checklist tool, primary and secondary indicators are provided for research strength. As shown in Table 4, primary indicators include features such as inclusion of participant characteristic, independent and dependent variables for primary indicators and focus on the research methodology.
These core features are necessary for a sound methodological approach and the more present, the stronger the research approach. Primary indicators are “deemed critical for demonstrating the validity of the study” (p. 1312). Secondary indicators, for example, inter-observer reliability, while important, are not fundamental in research design. They add to the reliability and validity of research, but not as much as the primary indicators.
While not absolutely necessary to validity, secondary indicators are still valuable; therefore, a minimum of four for strong research, or two for acceptable research must be included in their checklist or the study will be considered weak. Table 4 identifies the
53
primary and secondary characteristic indicators used by Reichow et al., (2008) to
determine the quality of research.
Table 4 Primary and Secondary Indicators for Evaluating Research
Primary Indicators Secondary Indicators Independent Variables Inter-observer Agreement Participant Characteristics Random Assignment Comparison Conditions Blind Raters Dependent Variable Fidelity Strong Link Between Research Question, and Effect Size Analysis Statistical Analysis with adequate Generalization and / or Maintenance sample size and power Attrition Social Validity
Note. Adapted from: “Development of the Evaluation Method for Evaluating and Determining Evidence Based-Practices in Autism” by Reichow, Volkmar, & Cicchetti, 2008, Journal of Autism and Developmental Disorders, 38(7), p. 1311-1319.
Other Individual Researchers
Odom, Collet-Klingenberg, Rogers, and Hatton (2010) also presented criteria for evaluating practices. They used an all or nothing approach where four criteria were required to be met to qualify as a practice that meets EBP. The first criterion was that
only participants birth through 22 years old must participate in the study. The second
criterion required a dependent variable from the design. The third criterion was the
research must demonstrate significant gains in the targeted skill. Lastly, the research must
demonstrate sufficient experimental control to avoid threats to validity. Research could
only be used to support a practice if all four research criteria were met.
Odom, Collet-Klingenberg et al. (2010) used similar criteria for determining
programs’ effectiveness as Reichow, Volkmar, and Cicchetti’s (2008) including: (a) the
amount of participants, (b) the use of control groups, (c) random or nonrandomized trials,
54
(d) reliability, and (e) validity of measures (Odom Collet-Klingenberg et al., 2010;
Reichow et al., 2008). Their method evaluates the rigor of the study and provides a consistent method for evaluating a variety of experimental designs. The method from
Odom Collet-Klingenberg, et al. (2010) differed from Reichow’ s et al. (2008) in small ways. For example, primary and secondary quality indicators are included in Reichow’s et al. (2008) evaluative method, but Odom, Collet-Klingenberg et al. (2010) has one level of strength indicating similar criteria such as experimental control, which are included in both. Reichow et al. (2008) includes studies of lessor rigor designs due to the secondary indicators, but requires more studies, between 5 and 10 by multiple researchers, which are excluded in Odom, Collet-Klingenberg et al. (2010).
Similarly, Slocum, Spencer, and Detrich (2012) offer their criteria for evidence- based practice, which they refer to as “empirically supported treatment” as follows: (a) thorough procedures to investigate the question asked, (b) effectively screening the literature to specific questions (c) evaluating the methodology quality, and (c) measuring the strength of the studies on a predetermined scale. Other authors (see Briggs, 2008;
Cook, Tankersley, & Landrum, 2009; Gersten et al., 2005; Horner et al., 2005) have provided similar guidelines for how EBP reviews should be conducted to provide the highest quality of research possible.
National Professional Developmental Center
Most recently, the National Professional Developmental Center on Autism Spectrum
Disorder (NPDC; n.d.a) provided three criteria for a practice to become an EBP:
• Two randomized or quasi-experimental design studies by two separate researchers
55
• Five high quality single subject designs, with three different researchers and at
least 20 participants, and
• Combination of the above with one randomized or quasi-experimental and three
high quality single subject designs by three separate researchers or researcher
groups.
Their criteria for quality designs are taken from a combination of research by Odom,
Boyd et. al. (2010) Nathan and Gorman (2007), Rogers and Vismara (2008), Horner et al.
(2005), Gersten et al. (2005), and Chambless and Hollon (1998), and are currently being used in research by Wong et al. (2015).
WWC (2014), Odom et al., (2010), and others have begun the process for establishing EPB standards for students with ASD, but as Lubas et al. (2016) advocate, there is a need for a clear definition of EBP that allows for replications and a clear understanding of the individual characteristics under which a practice becomes EBP.
While there are many ways to evaluate to determine EBP, two features were present in most evaluation methods. The first is a study design that meets large experimental control (WWC, 2014). True random controlled trials, and random assignment outcomes are not always possible, so when experimental control is not feasible, then several studies, (e. g. at least three) are needed that demonstrate a similar result (Odom, Collet-
Klingenberg et al., 2010; Reichow et al., 2008; WWC, 2014). The second feature is positive gains achieved on a dependent variable (Odom, Collet-Klingenberg et al., 2010).
These gains could be in the form of a decrease in targeted behaviors or a gain in the use of other behaviors (e.g., a decrease in hitting behaviors or an increase in the use of a
56
visual communication card). These key features indicate a likely EBP (Odom, Collet-
Klingenberg et al., 2010; Reichow et al., 2008).
Experimental design remains a limiting factor for research in schools as random
assignments are not always possible (Lubas, Mitchell, & De Leo, 2016). For example,
Alexander et al., (2015) evaluated the effectiveness of research designs using Odom’s
Collet-Klingenberg et al. (2010) criteria for many studies investigating the evidence base of practices. Only two studies in their evaluation met the design criteria due to the quasi- experiential design for group experiments and the lack of data points and inter-rater reliability of single case studies (Alexander et al., 2015). Most studies utilize individual rather than group designs and these designs are less likely to allow for replication since individual characteristics of ASD symptomology typically are not included (Alexander et al., 2015; Lubas et al., 2016). After determining the evidence base of a practice, educators must also determine what areas the practice may benefit. The next section presents and categorizes the various EBP interventions that have been identified thus far.
Categories of Evidence-basedPractices for Students with ASD
Several researchers offered categories of practice for students with ASD.
Alexander et al. (2015) utilized Odom’s et al. (2010) evaluation tool to review studies published in peer-reviewed journals that trained teachers to determine the effectiveness of group and individual interventions with school age children and children with ASD.
After evaluating the practices, Alexander et al. (2015) grouped the EBP into six categories: “(a) Behavioral Intervention Strategies, (b) Naturalistic Interventions, (c)
Discrete Trial Training, (d) Positive Behavioral Support Strategies, (e) Pivotal Response
Training, and (f) Other Strategies” (p. 18). Hess et al. (2008) also grouped practices into
57
categories after administering the Autism Treatment Survey (ATS) consisting of 43 items
related to EBP and non-EBP based on five categories previously identified by Simpson at
al. (2005): (a) interpersonal relationships, (b) skill based, (c) cognitive, (d) psychological/
biological/ neurological, and (e) other. The third grouping, by NPDC (2016b) also offered areas of intervention. In their Matrix of Evidence-based Practices by Outcome and Age, they offer twelve areas of intervention categories: social, communication, joint
attention, behavior, school readiness, play, cognitive, motor, adaptive, vocational, mental,
and academic (NPDC, 2016b). The matrix further offers which age range the EBP supports broken down in the following age ranges: (a) 0-5, (b) 6-14, and (c) 15-22
(NPDC, 2016b). Based on these resources, educators must determine which practices to
implement to service their students with ASD.
The NPDC (2016a) provides the most recent criteria for what constitutes an EBP
for students with ASD. They also include age ranges and domains for EBP utilization
with their criteria for identifying EBP for students with ASD. The next section
summarizes EBP identified by NPDC (2016a) by domains.
Evidence-basedPractices
Below is a summary of current EBP shown to improve students’ communication,
behavior, social skills and/or academic achievement using one or more of the NPDC (n.d)
criteria for determining research to support EBP (Alexander et al., 2015; Odom,
Kliningberg, et al., 2010; Wong et al., 2015). A few EBP, cut cross across multiple
domains. If the practice is primarily used for a specific function, even when it may cross
multiple domains, it is included under the primary category of utilization based on the
research available for the practice. For example, Picture Exchange Communication
58
System (PECS) addresses social skills, but the majority of research identifies it as a practice for communication and thus it is included under the heading of communication practices (NPDC, 2016b). Otherwise, it is included in the multiple domains category at this end of the discussion.
Communication
Communication practices have shown improvements in initiating and functional communication (NPDC, 2016b). While many practices address communication at the elementary age, one practice is used primarily. Other practices that effect communication as well as other domains are discussed under multiple domains.
• Picture Exchange Communication System (PECS) utilizes pictures to generate
communication and has demonstrated improvements in functional
communication, initiation, improve severe impairments of speech, and decrease
problem behaviors (Bonder & Frost, 2001; Charlop-Christy, Carpertner, Le,
LeBlanc, & Kellet, 2002; Flippin, Reszka, & Watson, 2010; Lerna, Esposito,
Conson, Russo, & Massagli, 2012; Thiemann-Borque, Brady, McGuff, Stump, &
Naylor, 2016). There are six phases of implementation for PECS: (1) Physical
exchange of a picture for desired item, (2) Expanding spontaneity whereas the
communication partners vary and distance traveled increase, thus increasing
generalization, (3) Picture discrimination that requires the student to select from
a variety of symbols, (5) Responding by answering a question, and (6) Response
and spontaneous comments (Bonder & Frost, 2001; Bondy & Frost, n.d.;
Thiemann-Borque et al., 2016).
59
Behavior
Behavior practices aspire to limit problem behaviors and increase desired
behaviors (Griffin, 2017). There are six interventions that are explained and used mostly
for behavior interventions. Many of these approaches are based on applied behavior
analysis (ABA) or applied behavior intervention (ABI) principles of data analysis associated with antecedents and consequences, the behavior (Kearney, 2015). As with communication, behavior interventions that may also be used within other domains are discussed under multiple domains.
• Antecedent behavior intervention (ABI) supports the use of preventive measures
to displace problem behaviors (Sigafoos, Green, Payne, O’Reilly, & Lancioni,
2009). Reinforcers and punishers are added and removed from the environment to
facilitate generalization and maintenance of desired behaviors (Powers, 2013).
Preferred leisure activities can also be used to engage the student with the desired
outcome (Sigafoos et al., 2009). Utilizing strategies such as chaining, modeling,
task sequencing, strategy training, prompting, object training, social stories, peer-
mediations, and time delay, authors have demonstrated an average weight effect
of .67, a moderately large effect (de Bruin, Deppeler, Moore, & Diamond, 2013).
• Cognitive Behavior, also known as cognitive-behavior therapy (CBT) is used to
modify an individual’s thinking and behavior to recognize the patterns of their
maladaptive thinking (Gaus, 2007; Scattone & Mong, 2013). CBT requires
exposure and prevention techniques that change the thinking model of participants
(Krebs, Murray, & Jassi, 2016; Watson & Rees, 2008). CBT requires
modifications from traditional practices and expanding of barrier skills to make
60
CBT successful with students with ASD (Reaven, Blakeley-Smith, Culhane-
Shelburne, & Hepburn, 2012). Atypical features, such as self-regulation
difficulties, social understanding challenges, rigid thought processes, and poor
generalization skills in students with ASD, require self-care remedies to make
CBT successful for students with ASD (Ozsivadjian & Knott, 2011; Wood et al.,
2009). CBT demonstrates improvements on behavior outcomes for adolescents
(McKay, 2016). For instance, Wood et al., (2009) found after CBT training, a girl
with ASD was able to regulate her anxiety in 4 or 5 out of 10 episodes to prevent
further escalation of emotional episodes. Improvements were also seen in
ritualization and aggressive outbursts. A variety of methods were employed in
their study with individuals based on their needs including exposure and response
prevention, behavior experiments, goal setting, identifying cognitive distortions,
and cognitive behavioral links.
• Differential reinforcement and reinforcement are similar approaches because they
both provide a consequence for a behavior that reinforces the behavior for future
use (NPDC, 2016). It is based on principles from Skinner’s book (1966)
identifying operant conditioning that detailed the effects of reinforcements on
behavior and later applied to Skinner’s (1957) work on language. A clearly
established theory in behavior, (see Pitts, 1971; Ramnero, 2008; Strickland, 2001)
it operates under the assumption that behaviors that are rewarded will continue
and those that are punished or not rewarded (or not reinforced) will discontinue
(Skinner, 1966). Differential reinforcement differs from reinforcement by
ignoring non-desired behaviors with the rationale that reinforcing functional
61
behaviors will extinguish the non-desired and interfering behaviors (NPDC,
2016). Differential reinforcement can lead to increases in desired non-prompted
responses (Hausman, Ingvaarsson, & Kahng, 2013; Kartsen & Carr, 2009).
• Extinction involves reducing or limiting unwanted behavior by withdrawing or
terminating the reinforcer that maintains the interfering behavior (NPDC, 2016).
Based on theories of classical condition with rewards and punishments, extinction
hopes to terminate behavior (Hall & Hall, 1998; Gottlieb & Begej, 2014;
Hoffman, & Falcomata, 2014; Kuhn, Lerman, Vorndran, and Addison, 2006;
Pavlov, 1927; Schieltz, Wacker, Ringdahl, & Berg, 2017). Kuhn et al. (2006)
note that interrupting a behavior chain’s final response can lead to an extinction of
the response.
• Functional behavioral assessments are used to address severe behavior concerns
by providing a clear definition or description of the behavior, predicting the time
and place instances may occur, and predicting the function of the behavior
(Rogers, 2001). While very labor intensive, the benefits of and FBA include
identifying environmental factors that contribute to the continuation of the
behavior and allowing for targeted interventions to generate appropriate
replacement behaviors (Rogers, 2001). Questionnaires such as the Questions
About Behavior Function (QABF) were created to limit the intensive nature of
documentation required of FBAs (Matson, Tureck, & Rieske, 2012).
• Response interruption and redirection (RIRD), also referred to as redirection, is
based on Skinner’s (1957) antecedent and consequence events whereby an
environmental stimulus maintains the behavior or promotes the discontinuance of
62
a behavior (Colón, Ahearn, Clark, & Masalsky, 2012). Ahrens, Lerman, Kodak,
Worsdell, & Keegan (2001) and Colón et al. (2012) found decreased vocalization
behavior and improved appropriate language after the use of RIRD where
interruption of undesired vocalization behavior was redirected to appropriate
behavior using verbal praise. RIRD has also demonstrated deceases in repetitive
and stereotype motor behaviors in students with ASD (Ahrens et al., 2001;
Pastrana, Rapp, & Frewing, 2013). During Martinez and Betz’s (2013) review
they uncovered that all studies investigating RIRD consisted of controlled
environments during evaluations; consistent with the review explored by Ahearn
et al. (2007).
Social Skills
Social skill interventions attempt to engage students with ASD in positive interactions with peers and others (Perry, Neitzel, & Engelhardt-Wells, 2010). As overlap between practices occurs, these six practices are discussed for their primary function of improving social outcomes (NPDC, 2016).
• Peer mediated instruction and interventions involve systematic ways peers are
taught to engage students with ASD in positive social interactions (Sperry, et al.,
2010). As Sperry et al. (2010) declared, “When implemented effectively, the
quality and quantity of social interactions between students with ASD and their
peers increases and can lead to more positive outcomes for children and youth
with ASD” (p. 261). Peer-mediated instructions early review by Odom and Strain
(1984) offered three effective peer-mediated approaches: (a) proximity, having
socially competent peers to act as models for students, though not specifically
63
trained in interaction strategies; (b) prompting and reinforcing, teaching peers
specific strategies to reinforce or prompt a response or behavior; and (c) peer
initiation, having peers originate interactions with students with ASD (Watkins et
al., 2015).
• Pivotal Response Training (PRT) is based on the four pivotal learning variables
that allow students to make generalized improvements: motivation, responding to
multiple cues, self-management, and self-initiations (NPDC, 2016; Stockall &
Dennis, 2013). To use PRT with fidelity, Suhrheinrich et al. (2013) offer their
criteria for observations: gain attention, provide a clear opportunity
for instruction, maintain tasks (i.e. simple tasks are paired with difficult tasks),
allow choice, and allow turn taking (shared control), and provide multiple
cues, continent consequences, direct reinforcement, and reinforce attempts.
• Self-management includes utilizing the individual to determine appropriate and
inappropriate behavior (Wong et al., 2014). Social problem solving is the basis of
this practice, that requires the use of evaluating social context and responding
appropriately to the setting (Koegel, Park, & Koegel, 2014). Tools such as
journals and diaries can be used as well as modeling strategies in conjunction with
other self-management techniques (Koegel et al., 2014; Palmen, Didden, & Arts,
2008). Elaborated responses and reciprocal question asking were increased
following self-management interventions implementations (Koegel et al., 2014;
Palmen et al., 2008).
• Gray (2017) promoted Social Stories (SS) in the 1990s as a “social learning tool
that supports the safe and meaningful exchange of information between parents,
64
professionals, and people with autism of all ages” (carolgraysocialstories.com,
2017). While SS refer to her copywrited stories (see her social story sites for more
information), social narratives are similar in that they provide stories to illustrate
and describe socially appropriate behavior (Doody, 2015). For instance, social
narratives can be used to provide understanding that to help yourself to a tray of
cookies refers to taking one or two and not the whole tray (Doody, 2015). Social
narratives may also be used in conjunction with technology such as on an IPad
(Doody, 2015).
• Structured play groups are defined as small group interactions with specific goals
(Wong et al., 2015). Actives are planned with roles predetermined and
scaffolding built in to support the student in the group activity (Wong et al.,
2015). Strauss et al. (2014) recognized that while structured, more naturalistic
settings that combine student interest were more successful. Improvements in
engagement, such as eye contact, and initiation of play were observed following
structured play groups (Strauss et al., 2014). Manning and Wainwright (2010)
observed that play predicted social outcomes indicating the importance of play on
social skills.
• Social skills training, or groups, previously were a separate entity, but are now
combined under the NPDC with structured play groups due to similarities (n.d.).
For the purposes of this study it is listed as a separate practice than structured play
groups and is characterized by individual or group instruction “designed to teach
learners to appropriately interact with typically developing peers” (Fettig, 2013,
para. 1). Social training is based on principles that students with ASD lack the
65
theory of the mind that positions how to interpret the actions of others (Baron-
Cohen, Leslie, & Frith, 1986; Feng, Lo, Tsai, & Cartledge, 2008; Kerr & Durkin,
2004). Social skills training teaches students to interpret the behavior instead of
just completing task and is shown to be effective for generalizing social skills
such as expressing emotions and conversation skills (Feng et al., 2008). Features
of social skills training include manuals to guide the treatment and peer support
(Koenig et al., 2010).
Academic Skills
Academic achievement is one of the primary functions of schools (Spring, 2015).
Increasing engagement in academic content is discussed with the singular practice of discrete trial teaching (Goodman & Williams, 2007).
• Discrete trial teaching (DDT) is a “systematic instructional procedure designed to
maximize learning opportunities using the scientific principles of ABA [applied
behavior analysis]” (Gongola & Sweeny, 2012 p. 184). DTT, originally
developed by Loovas (1987), is based on principals of reinforcement, prompting,
and fading and involves a highly-structured environment to help students learn
academic and other skills (Gongola & Sweeny, 2012; McKenney & Bristol,
2015). Skills are practiced repeatedly until mastered, and continue through
generalization when they can be conducted individually, thus allowing for skills
to be targeted at the rote level (e.g., imitation, personal facts) through complex
tasks (eg., answering questions; Gongola & Sweeny, 2012; Simpson, 2005).
While DTT may be used across domains, its primary use is for teaching academic
content.
66
Multiple Domains
The 12 practices under multiple domains offer a combination of supports of the
four domains of communication, behavior, social skills, and academics. While five
practices, computer aided instruction and speech generating devices, may be used to
address all four domains, one practice, task analysis, address three domains, and four
practices, exercise, functional communication training (FCT), prompting and scripting
address two domains areas in the elementary ages. Each practice is explained and the domains addressed discussed.
• Computer aided instruction utilizes technology to aide students with ASD (Odom
et al., 2015). It has been used for a wide variety of academic skills including
vocabulary, reading, and problem solving (Goldsmith & LeBlanc, 2004) as well
as, to improve communication and play related social skills (Goldsmith &
LeBlanc, 2004; Kagohara et al., 2013). Bernard-Opitz, Sriram, and Nakhoda-
Sapuan (2001) demonstrated improvements with computer aided instruction with
text to speech devices involving generating multiple solutions to problems as well
as solving social skill problems. Students with ASD have demonstrated
improvements at stimuli presented visually, with less emphasis on the social
aspect of the teacher/ student interaction, and tend to be responsive to computer
use (Ramdoss et al., 2011).
• Exercise, or physical activity, included swimming, yoga, weight bearing exercise,
equine therapy, trampoline training, and other forms of physical activity
preceding the stimulus effect, have resulted in a variety of improved classroom
behaviors (Dillion, Adams, Goudy, Bittner, & McNamara, 2017). Exercise has
67
demonstrated improvements in social behaviors and self-stimulation behaviors for
some students with ASD (Pan, 2010; Rosenthal-Malek & Mitchell, 1997). Also,
classroom engagement can increase following physical activity (Lourenco,
Esteves, Corredeira, & Seabra, 2015).
• Functional Communication Training (FCT) “seeks to establish the skills and
create the environmental conditions under which a socially appropriate
communication response, rather than problem behavior, will be used to access
reinforcement” (Krutz, Boelter, Jarmolowicz, Chin, & Hagopian, 2011, p. 2935).
The original creators Carr and Durand (1985) describe FCT as replacing
undesirable communication behaviors (e.g., seeking attention or avoiding a
difficult tasks) with appropriate communication behaviors. Durand and
Moskowitz (2015) found by instructing students in appropriate responses to meet
the function of the communication behavior, undesirable behaviors were
extinguished or lessoned.
• In vivo, or live, modeling has been widely researched as a tool to promote
behaviors and social skills (Rigsby-Elredge & McLaughlin, 1992). With the
increase in availability of technology, comparisons of in vivo modeling with
video modeling (VD) occurred (Wilson, 2013). Though results, are inconsistent
over which method produces increased results both demonstrate a promising
outcome for increasing behaviors with some maintenance of skills (Charlop-
Christy, Le, & Freeman, 2000; Gena, Couloura, & Kymissis, 2005; Wilson,
2013).
68
• Naturalistic interventions, “include child centeredness, embedded learning
opportunities, a responsive style of interaction, and the utilization of the natural
environment as a learning context” (Harjusola-Webb & Robbins 2012, p. 99).
Naturalistic interventions mimic the natural environment, therefore increasing the
meaning for the student and generalizations of skills to their environment
(Ingersoll, Lewis, & Kroman, 2007; Ingersoll & Schreibman, 2006). Language,
such as expressive communication, social plays skills, gestures, and joint attention
skills have all demonstrated improvements using a naturalistic approach
(Harjusola-Webb & Robbins, 2012; Ingersoll, Lewis, & Kroman, 2007; Ingersoll
& Schreibman, 2006).
• Symon (2005) demonstrated that parents can serve as expert trainers to improve
children’s functional verbal language in the home environment as a parent
implemented intervention. Parent implemented interventions have been shown to
improve social communication and behavior skills in pre-school and elementary
age children using previously identified EBP (NPDC, 2016; Rocha, Schreibman,
& Stahmer, 2007). Benefits of parent training are particularly useful for those
who live geographically distant from centers that specialize in treatment for ASD
or other rural areas (Koegel, Symon, & Koegel, 2002). Parents were often taught
pivotal response techniques to utilize with their child in the home environment
(Koegel et al., 2002; Symon, 2005).
• Hayes (2013) stated, “Prompting is where an adult or peer assists a learner to
acquire a new skill. Prompts can be gestural, verbal, visual, or physical” (p. 52).
Prompting has seen increases in success for students’ reading ability (Spector,
69
2011). When reviewing reading skills Browder, Ahlgrim-Delzell, Sooner, Mims,
and Baker (2009) describe prompting as when the target stimulus does not
provide the response, the teacher will provide a stimulus, often verbal, that pairs
with the target stimulus to provide the desired response. In Knight and Sartini’s
(2015) review of prompting literature, they found strong evidence to support the
use of prompting for reading comprehension skills such as making inferences,
using facts, and understanding analogies as well as pre-reading skills. In addition,
science and math skills were also supported including vocabulary and ability to
solve word problems (Knight & Sartini, 2015).
• Scripting involves the use of using written scripts or audio recordings as a model
for appropriate language for students (Brown, Krantz, Mcclannahan, & Poulson,
2008). Scripting includes fading techniques that allow language to be generalized
and unscripted language increases (Brown et al., 2008; Sarokoff, Taylor, &
Poulson, 2001; Wichnick-Gillis, Vener, & Poulson, 2016). Students are taught
script phrases to mastery and then instructed to use the script with fading of
prompts over time (Ganz, Kaylor, Bourgeois, & Hadden, 2008). Scripting can
also be used to decrease perseverative speech and socialization, such as gaining
attention and interactive play (Ganz et al., 2008; Hundert, Rowe, & Harrison,
2014).
• Task analysis and training refer to a set of steps to follow to complete a task and
in some instances, individuals may also self-monitor the completion of each step
(Parker & Kamps, 2011). Parker and Kamps (2011) found task completion and
activity engagement increased with the use of task analysis. Task analysis has also
70
been shown to increase social behaviors, such as initiation and improve scores the
Peer Acceptance Questionnaire and the Social Skills Rating System (SSRS) from
teachers (Thiemann & Goldstein, 2004).
• Time delay can be summarized as a feature of prompting where there is a gradual
increase in the time between the stimulus and the verbal prompting response
(Browder et al., 2009). Time delay takes place in two phases. The first requires
understanding of the verbal repertoire required to complete the task, such as
displaying a picture or the object and labeling and modeling the appropriate
response (Leung, 1994). In the second phase, modeling is delayed for a short
time and then the interval between prompting and the stimulus is gradually
increased, from 2 seconds to 5 seconds, to 10 seconds, until spontaneous requests
are made (Leung, 1994). Time delay experienced a large interest in the late 1980s
and 1990s with many studies highlighting the social and communication benefits
of the intervention used to increase appropriate phrases, ask questions, request
objects and use appropriate praises, such as please and thank you (Charlop &
Trashowech, 1991; Charlop & Walsh, 1986; Leung, 1994; Matson, Sevin, Box,
Francis, & Sevin, 1993; Taylor & Harris, 1995).
• Video modeling (VM) utilizes technology, such as videocassette recordings
(VCR), smart phones, IPads and IPods to deliver interventions in communication,
behavior, social, and academic skills (Charlop & Milstein, 1989; Goldsmith &
LeBlanc, 2004; Haring, Kennedy, Adams, & Pitts-Conway, 1987; Kagohara et al.,
2013; Odom et al., 2015). VM technology is one of the most readily available
practices for parents, educators, and clinicians (Goldsmith & LeBlanc, 2004). VM
71
interventions typically involve the student watching a video, modeling the desired
behavior, and then given an opportunity to imitate the behavior (Axelrod, Bellini,
& Markoff, 2014). This process is continued until the student is able to
consistently display the behavior (Macpherson, Charlop, & Miltenberger, 2015).
Benefits of VM present by Ennis-Cole (2015) “include its use in natural settings,
control over the modeling procedure, repetition, convenience, and consistency”
(p. 174).
• Visual supports provide nonverbal expressions to aide students with ASD
(Dyrbjerg, Vedel, & Pedersen, 2007). Dyrbjerg et al. (2007) describe visual
supports as a roadmap or guide, for students with ASD giving them the directions,
appropriate behavior, and manual for how the world works. Visual supports
include graphic symbols to represent desires, for example to play, or objects
(Johnston, Nelson, Evans, & Palazolo, 2003). Visual supports can assist in
making abstract tasks concrete for students and also allows them to anticipate
what comes next to relieve anxiety and the exhibition of problematic behaviors
(Breslin & Rudisill, 2011; Liu & Breslin, 2013).
NonEBP
A number of nonEBP used by service providers have been identified with either no support, or little or emerging support due to insufficient research (Paytner & Keen,
2015). Some of the practices utilized under these categories include: (a) Auditory integration training, (b) facilitated communication, (c) holding therapy, (d) music therapy, (e) sensory integration (sensory diet, deep tissue therapy), (f) sign language, (g) vitamin therapy, and (h) weighted vest/clothing (Stahmer, Collings, & Palinkas, 2005).
72
While some practices such as music therapy may require more time to emerge as EBP for students with ASD, some, such as facilitated communication, have continued to thrive despite abundant evidence of their lack of results (Lilienfeld, Marshall, Todd, & Shane,
2015; Paynter & Keen, 2015; Wombles, 2015). The majority of these non-EBP have been developed to address the communication and behavior needs of students with ASD or a combination of the four EBP domains (communication, social, behavior, and academic concerns). Thus, these practices will be presented under three domains: communication, behavior, and multiple domains.
Communication
• Facilitated communication involves the use of a therapist or educator,
supporting the hand or fingers of a participant while the participant
writes, types, or points to objects, but further evaluation of the method
have demonstrated effects may result from ideomotor, or unconscious,
movements of the therapist (Saloviita, 2016). Several authors have
provided research to support the discontinuance of facilitated
communication, but despite the mounting evidence of its ineffectiveness,
it remains a practice that continues to have research published advocating
for its use (Chan & Nankervis, 2015; Lilienfeld et al., 2015; Saloviita,
2016; Travers et al., 2014; Wombles, 2015).
Behavior
• Auditory integration provides for sensory stimulation to improve
maladaptive behaviors such as stereotypy, or sensory abnormalities
sometimes exhibited by students with ASD (LaFrance et al., 2015).
73
Auditory integration involves the continued exposure to music via
headphones in an effort to lessen the hypersensitivity to sounds (LaFrance
et al., 2015). Some oppose the use of auditory integration due to the
hearing damage that may ensue by excess sound use (Lucker, 1998).
Other reviews also demonstrate the mixed results achieved with auditory
integration which lead to it not being currently recommended as an EBP
(LaFrance et al., 2015; Rossignol, 2009).
• Holding therapy involves forced holding where the participant is required
to be held for a specific time interval or until the participant meets the
eyes of the therapist or parent (Kurtz, 2008; Research Autism: Improving
the Quality of Life, 2016). Holding therapy began as a therapy often used
with adopted and foster youth as a treatment for those who suffered from
neglect under the model of attachment therapy (Howe & Fearnley, 2003;
Sudbery, Shardlow, & Hunington, 2010). The use of holding therapy
continued with children with ASD as a means of intervening on behavior
with the assumption that behavior disorders resulted from the stress of a
bond not forming appropriately with a parent and child (Kurtz, 2008).
While authors continue to generate case studies using non-generalizable
means to promote single examples for support for the practice, other
authors highlight the harm, including investigations for child abuse that
have taken place regarding holding therapies practices (Kurtz, 2008;
Mercer, 2012; Sudbery et al., 2010).
74
• Sensory integration involves the use of tactile and visual stimuli to
replace undesirable behaviors (Ayres, 2005; Moore, Cividini-Motta,
Clark, & Ahearn, 2015; Piazza, Adelenis, Hanley, Goh, & Delia, 2000).
Sensory integration theory proposes that students who lack typical
sensory input produce atypical behaviors such as repetitive behaviors, as
the result of their inability to process sensory information (LaFrance,
Miguel, Donahue, & Fetcher, 2015). Two sensory integration practices
often used for students with ASD include sensory diet, providing sensory
stimulus during intervals, and deep pressure therapy, applying pressure to
the skin and joints (Moore et al., 2015). From their review of the research
on sensory integration Lang et al. (2012) found 3 out of 25 suggesting
effectiveness of sensory integration. Others provided no discernible
effect, or even an increase in negative behaviors (Lang et al., 2012). Of
the studies that demonstrated effectiveness, critics have found research
design issues that do not provide the rigor necessary to deem sensory
integration an EBP (Lang et al., 2012; Rossignol, 2009).
• Sign language has been implemented to promote successful
communication for students with ASD (Seal & Bonvillian, 1997).
Researches have reported a wide variety of results both positive and
negative from the use of sign language with this population (Cornelius
Habarad, 2015; Scattone & Billhofer, 2008). Thus, educators should be
cautious when selecting sign language as an intervention for students until
75
more research can clarify under what conditions sign language may be
successful (Scattone & Billhofer, 2008).
Multiple Domains
• Music therapy provides “songs and music used as a medium through
which student’s goals may be addressed” (Fluery, Thompson, & Wong,
2015, p. 91). Kurtz (2008) offers music therapy as a tool to meet social,
communicational, and educational needs. Songs have been used to target
social skills, such as greetings for the morning transition and while they
have shown some success the intervention may need modifications (Kern,
Wolery, & Aldridge, 2007). Music therapy may prove to be an EBP, but
Fluery et al. (2015) cautions against using music therapy until more
research has been published justifying its effects for students with ASD.
• Vitamin therapy and other alternative medicines are estimated to be used
by over 50% of children diagnosed with ASD (Hanson et al.,
2007). Hanson et al. (2007) found most families perceived vitamins and
other alternative medicines as helpful or not effective, and perceived them
to be non-harmful. Some families chose to use vitamins and other
alternative therapies to avoid unsafe conventional medications and
conventional medication side effects (Hanson et al., 2007). Particularly,
vitamin B6, and magnesium used as dietary supplements are consumed to
reduce ASD symptoms by improving speech and language (Whitehouse,
2013). These vitamins are necessary for the formation of
neurotransmitters, which are hypothesized to be a possible cause in the
76
development of ASD (Whitehouse, 2013). While studies exist that
demonstrate the benefits of vitamin therapy, the studies do not satisfy the
rigor required to label vitamin therapy as an EBP (Nye & Brice, 2005;
Whitehouse, 2013).
• Weighted vests gain support from two theories: homeostatic theory and
operant functions theory (Hodgetts, Magill-Evans, & Misiaszek, 2011).
Homeostatic theory supports the use of a vest due to an over or under
stimulation interrupted by the individual with ASD (Hodgetts et al., 2011).
The operant theory supports the use of a weighted vest due to the reward,
or reinforcement, of stimulation (Hodgetts et al., 2011). The use of the
weighted vest is posturized to help students with ASD modulate and
regulate sensory input (Hodgetts et al., 2011; Olson & Moulton, 2004;
Reichow, Barton, Sewell, Good, & Wolery, 2010). The lack of
consistency and use of weighted vests concurrently with other practices
makes the practice suspect due to the absence of experimental control
(Olson & Moulton, 2004; Reichow et al., 2010). When experimental
control is implemented, weighed vests do not show any increase in
engagement of students (Reichow et al., 2010; Stephenson & Carter,
2009).
Limitations of EBP
Several authors acknowledge the limitations of EBP including generalizability, teachers’ abilities to comprehend research, and practices that are still being evaluated
77
(Cook, & Cook, 2013; Dingfelder, & Mandell, 2011; Lubas, et al., 2016; Spencer,
Detrich, & Slocum, 2012). These areas are debated below.
The first limitation of EBP is that they are not generalizable and will not work for
every student in every situation (Cook & Cook, 2013). With the wide variation of needs
and characteristics, not every student will benefit from every EBP (Cook & Cook, 2013;
Lubas, et al., 2016). Lubas et al. (2016) agreed and offered the individual characteristics
of the student are more important than the research studied and should dictate the
practices utilized (Cook, Tankersley, & Landrum, 2009). They critiqued the concept of
EBP with the wide range of the spectrum and possible medical and psychiatric comorbidities. Thus, a practice may be beneficial for one student or students with one characteristic, but not meet the rigors of generalization to other students with ASD or only benefit students in a specific environment. Consequently, the research to practice gap complaint from practitioners is that research does not apply to real world scenarios in classrooms, and limiting factors of the classroom environment constrain the rigor of research that may be conducted (Knight, Sartini, & Spriggs, 2015; Lubas, et al.,2016;
Mesibov, & Shea 2011; Rogers, & Vismara, 2008; Spencer, Detrich, & Slocum, 2012).
Secondly, teachers must have the skills necessary to review and critique research to determine which settings, characteristics, and other considerations must be made to determine when, where, and how a practice will work (Lubas, et al.,2016; Rogers, &
Vismara, 2008). The educator component necessary to evaluate student’s individual needs are highlighted in this author’s framework and is illustrated by Lubas et al. (2016):
From both intervention and research perspectives, it is important to acknowledge
that children with ASD do not necessarily have the same social, behavioral, or
78
communication challenges as another child diagnosed with ASD. In addition, the
wide range of the spectrum-and the medical and psychiatric comorbidities-creates
a vast array of individual differences among children diagnosed with ASD. (p.
190)
Other authors advocate the teacher and student relationship is also fundamental in informing students’ development and determining which practices and how they should be implemented (Leflot, Onghena, & Colpin, 2010; Lubas et al., 2016; Serpell &
Masburn, 2012).
Lastly, the concern is that practices not labeled as an EBP may benefit students with ASD and may not have generated enough support to be labeled an EBP (Cook &
Cook, 2013; Lubas et al., 2016). Yet, without use, it will be difficult to gather sufficient evidence to allow the practice to become and EBP. While EBP are ideal, other programs have been utilized to service students with ASD that have not received the label such as the practices of scripting, cognitive behavior interventions (CBI), and structured play groups which recently experienced identification as an EBP for students with ASD
(NPDC, n.d.). A practice that does not currently have the EBP label may still benefit students when research has been conducted.
Knight et al. (2015) believe that educators should first consider EBP before applying less verified practices. Dingerfelder and Mandell (2011) concur and explain that often ASD practices are adopted before claims can be validated. While Lord et al. (2005) believe practices should be examined when done in controlled settings, Dingerfelder and
Mandell (2011) disagree and believe for EBP to diffuse to the communities “linking intervention development and the settings in which we hope interventions ultimately will
79
be used” (p. 607) must occur first. Dingerfelder and Mandell (2011) continue to advocate
that researchers should facilitate the implementation procedures of practices and work
with communities to invent practice to meet their needs with research to improve the
diffusion of the practice.
Interventions to Service Students with ASD
Odom, Boyd, Hall and Hume (2010) identify two classes of interventions to
service students with ASD. The first is comprehensive treatment models (CTM), which
are meant to treat multiple characteristics such as behavioral, communication, and social
outcomes for students with ASD (Odom et al., 2010). These are often branded practices
and curriculum features that offer intensive components over the course of weeks,
months, or years (Rogers & Vismara, 2008). CTMs are all-encompassing programs
geared to treat each aspect of the symptoms of ASD (Wong et al., 2015). Examples of the
CTMs include the Lovaas method, which uses DTT methods to train students and the
Treatment and Education of Autistic and related Communication-handicapped Children
(TEACCH) program based on structured teaching methods and the Denver Model based on naturalistic and parent involved strategies to improve behavior (Smith, Groen, &
Wynn, 2000; Marcus, Scholper, & Lord, 2000; Mesilbov & Shea 2010; Wong et. al.,
2015).
The second is focused interventions practices (FIP; Boyd, McDonough, &
Bodfish, 2012; Odom, Boyd et al., 2010). FIP are meant to target a specific behavior and are used for a short duration (Odom et al., 2010). The FIP differ in organization as CTMs are centered on a conceptual framework, intensity, standard procedures, and time of intervention; they are geared to be long term plans for treatment (Odom, et al., 2010). FIP
80
are targeted practices such as Picture Exchange Communication System (PECS) meant to address one domain, communication, though they may be utilized to address other areas
(Bondy, & Frost, n.d.; Boyd, McDonough, & Bodfish, 2012). Authors have investigated both CTM and FIP use in schools.
Stahmer, Collings, and Palinkas (2005) investigated the reported use about EBP among educators in Southern California by conducting focus group interviews with early intervention service providers of students with ASD. One focus group mentioned the use of 13 strategies and six strategies were consistently listed among participants of all the focus groups (Stahmer et al., 2005). The six strategies mentioned across all groups included: applied behavior analysis (ABA, or ABI), Floor Time, occupational therapy
(OT) which includes sensory integration, PECS, sign language, and Social Stories, also known as social narratives (Stahmer et al., 2005).
Hess et al. (2008) administered their Autism Treatment Survey (ATS) to 185 general education and special education teachers to determine which EBP are currently being utilized across preschool through 12th grade classrooms including CTM and FIP.
Their research uncovered that classroom type such as general education or special education, as well as grade level were factors in the interventions selected. Hess’s et al.
(2008) Autism Treatment Survey (ATS) was broken up into five categories for ease of selection for the participants: (a) interpersonal relationships, (b) skill-based, (c) cognitive,
(d) psychological/ biological/ neurological, and (e) other (Hess et al., 2008).
The ATS included options for amount of use of CTM and FIP, including one for not used, and a short definition were provided for each practice and an area was provided for participants to add practices used not listed in the survey. The survey was piloted by
81
volunteers from Georgia State University and revised to assure the reliability and validity
of the survey. Participants indicated the most widely used interventions by percentage of
use were: (a) sensory integration, (b) gentle teaching, (c) music therapy, (d) cognitive behavioral modification, and (e) art therapy.
Sensory integration had the greatest self-reported use with 92.86% utilizing the practice as well as across all the grade levels surveyed. Class type and grade also affected the reported strategies used with special educators being the only respondents utilizing visual schedules and several other practices. Additionally, each grade level reported using varying strategies with some grade levels being the sole practitioner of a strategy.
For example, preschool teachers did not utilize PECS, and structured teaching was only utilized in middle schools. According to the ATS, only 28.6% of Georgia’s educators are using EBP or a practice considered promising for students with ASD. Of the top five reported strategies utilized, none of them meet criteria for EBP though social stories
(narratives) have since met criteria under inclusion as EBP (Hess et al., 2008; NPDC,
2015).
Within each domain, or category of practice, educators reportedly utilized different practices as noted in Table 5. The five most common practices were: assistive technology for skills based, gentle teaching for interpersonal relationships, cognitive behavioral modifications for cognitive, sensory integration for physiological/ biological neurological, and music therapy for other (Hess et al., 2008). Only 28.6% of Georgia educators used a practice, acknowledged at the time of the study, to be considered EBP or a promising EBP practice (Hess et al., 2008).
82
Table 5 Most Used Practices According to ATS by Domain
Skills Based Interpersonal Cognitive Physiological/ Other Relationships Biological Neurological Assistive Gentle Teaching Behavioral Sensory Music technology Modification Integration
Note. Adapted from “Autism treatment survey: Services received by children with autism spectrum disorders in public school classrooms.” by K. Hess, Morrier, Heflin and Ivey, 2008. Journal of Autism and Developmental Disorders. P. 38(5), p. 961-971.
Educator’s Understanding of Evidence-basedPractices
Stahmer et al., (2005) investigated the opinions of educators in their examination of practices used in Southern California for students with ASD. Although participants thought the strategies they used were EBP, none of the participants mentioned having read any research reviews or papers on any of the practices. Additionally, participants could not agree on which practices were EBP, were unsure of 20% of the strategies, cited
50% of the practices as EBP, and had poor research on 30% of the strategies they listed identifying them as nonEBP. At the time of the study, none of the programs mentioned were considered EBP, but today DTT, PECS, Social Stories (social narratives), and visual supports are considered to have a strong support for the practice (Stahmer et al., 2005;
NPDC, n.d.a.). Strategies such as music therapy and sign language have not been identified as EBP (Hess, Morrier, Heflin, & Ivey, 2008; Stahmer et al., 2005; NPDC,
2016b). Participants were only partially successfully in identifying EBP as they identified music therapy, occupational therapy (OT) and sensory integration training as EBP though they were not, and are still not, considered EBP. Yet they were successful in identifying
DTT, ABA, PECS, and PRT as EBP (Hess, et al., 2008; Stahmer et al., 2005; NPDC,
2016b). Stahmer et al. (2005) also discovered that many of the strategies utilized were in
83
a modified form as all participants admitted to adapting the programs to meet their
classroom or students’ needs, which can affect the fidelity of the practices and
demonstrates the training required for service providers.
Using a similar approach, Auert, Trembath, Arciuli, and Thomas (2012) conducted focus groups to understand the EBP knowledge of parents whose students were receiving speech pathologist services, with students diagnosed with ASD.
Transcripts were read five times by the author, and notes and codes were added during the readings to discover themes (Auert et al., 2012). Their results indicated that parents placed greater emphasis on EBP than did the speech and language pathologists. Auert et al., (2012), Hess et al., (2008) and Stahmer et al., (2005) demonstrated that educators of students with ASD did not put emphasis on utilizing practices demonstrated as EBP.
While a few studies, such as Hess et al., (2008), Odom et al., (2010), Collet-
Klingenberg et al., (2010) and Stahmer et al., (2005) explored EBP use for students with
ASD, they are more than five years old. Current research is necessary to uncover current
trends in EBP use to determine the gains, if any, have occurred in EBP use. As well, new
EBP that have been uncovered by educators need to be disseminated to address the
research and policy to practice gap.
Summary
Teachers are the educational leaders who form part of the collaborative system
with other IEP team members to develop educational plans based on student’s needs.
While laws such as IDEA (2004) and NCLB (2002) mandate that students with disabilities, particularly students with ASD, to receive educational benefit using EBP, teachers continue to use programs in their classroom with little to no research support
84
(Hess et al., 2008; Simpson, 2005). With the prevalence of ASD rising in California, particularly in the Inland Empire, it becomes vital that teachers are using quality practices to support the communication, behavioral, social, and academic needs of students (CDC,
2016). Barriers to change exist for special education teacher use of EBP for students with
ASD, but as resources have become available, specifically for students with ASD, it is important to determine if changes in the research and policy to practice gap have occurred. The methodology of this current study, detailed in Chapter 3 discerns the current use of EBP for students with ASD by a sample of special educators in the Inland
Empire region of Southern California.
85
CHAPTER 3: METHODOLOGY
As the population of students with a diagnosis of ASD rises, services that are
developed to meet their particular needs are more important than ever before (O’Brien,
2013; Spring, 2015).). Students with ASD have different needs than those of the
typically developing population so discovering practices that meet their specific needs become essential to ensure their academic achievement (Mesibov & Shea, 2010). The
National Professional Developmental Center on Autism Spectrum Disorders (NPDC;
2016a) identified 27 evidence-based practices (EBP) to demonstrate improvements in communication, behavior, social, and academic achievements. To determine how decisions regarding the use of EBP and nonEBP support students with ASD are made by special educators in a targeted district (i.e., “the Lemon District”) in the Inland Empire region of Southern California. This study addressed the following research questions:
• How did special educators in the Lemon School district define EBP for students
with ASD?
• What sources did they use to incorporate EBP for students with ASD?
• What EBP and nonEBP for students with ASD did special educators use were
EBP to address communication, behavior, social, and academic deficits and did
they believe the practices were EBP?
Design
A survey design was selected to discover the current practices of Southern
California, Inland Empire elementary special education teachers. An online survey adapted from the Autism Treatment Survey (Morrier, Hess, & Heflin, 2006) was employed to collect quantitative and qualitative data to provide breadth of understanding
86
on the current use of EBP and a depth of understanding about special education teachers’
beliefs about EBP and their selection of practices to support students with ASD in
schools (Palinkas et al., 2015; Tashakkori & Teddlie, 2003). Survey methods are
appropriate for generating information about beliefs and policy issues (Creswell, 2012).
A cross-sectional research design allows for the researcher to generate data about the
current views of respondents (Creswell, 2012).
Survey Instrument
The ATS was developed by Morrier et al. (2006) and used by Hess et al. (2008)
and Morrier et al. (2011) to uncover EBP for students with ASD in the state of Georgia
and sources of information about EBP as reported by general and special education
teachers. As part of the verification process, experts in the field of ASD research
reviewed the survey and provided feedback which was used to enhance the survey
(Morrier et al., 2011; Vogt, 2007). The researcher selected the ATS to increase content
validity, while assessing the replicability of findings regarding the current use of EBP
among special educators in Southern California (Vogt, 2007). The ATS was in the
process of being updated (personal correspondence Morrier, 2016), but as the most
current version was not available at the time of research development the original ATS was modified by the researcher to address the research questions, shorten the duration of the survey, reflect the credentials and current EBP in California, and allow the
participants the opportunity to elaborate their responses.
The survey, shown in Appendix B, consisted of 42 items. The first seven
questions asked for demographic information about the participant and his/her classroom,
such as the amount of years teaching and the type of credential held. The researcher
87
added open-ended questions to capture participants’ definitions of EBP and the sources
they used to learn about EBP.
Next the survey included 26 multiple-choice items for all 27 communication,
behaviors, social skills, and academic EBP to ascertain if special educators had used the
practice and if they believed it to be an EBP. The practices of computer aided instruction
and speech generating devices were combined into one practice. The researcher adjusted
the formatting of these items to streamline the survey and provide insight into EBP
beliefs. The original survey asked about EBP use and provided three options: yes,
currently; in the past, but not this year; and no, never (Morrier et al., 2006). This
modified survey provides six options: (a) yes, I have used and yes, it is an EBP, (b) yes, I
have used it and I am unsure if it is an EBP; (c) yes, I have used it and no, it is not an
EBP; (d) no, I have not used the practice and yes, it is an EBP; (e) no, I have not used the
practice and I am unsure if it is it is not an EBP ; and (f) no, I have not used the practice
and no, it is not an EBP.
Sample
The sample was drawn from an Inland Empire elementary through high school
district with special education educators, defined as those holding a teaching credential
with authorization to serve in a mild/moderate or moderate/severe program or equivalent
degree that would meet the criteria of highly qualified in a preschool to 6th grade or adult
classroom in California (Commission on Teacher Credentialing, 2012; NCLB, 2002). At the time of the study there were over 11,000 people living with autism (ASD) in the
Inland Empire with a dramatic increase in the ASD population over the last decade
(Autism Society, 2017). For instance, Chaffey Joint Unified High School District in the
88
Inland Empire had an increase from two students with ASD in 2002 to 103 students in
2011 (DiMartino, 2011). The district was selected for the variety of classroom types
available and sizes to allow for a large sample from the local population. In addition, the
district was willing to distribute the survey to special education teachers at a busy time at
the end and beginning of the 2016-2017 and 2017-2018 academic years. Pseudonyms
were used to protect the confidentiality of the participants.
The Lemon School District contained just over 8,000 students. At the time of the
study, approximately 214 students with ASD attended the district (Lemon School
District, 2011). This school was also a recipient of a two year NPDC grant beginning in
2015 to support teacher training on the use of EBP (Lemon School District, 2015). Table
6 highlights the demographic data from the district, which includes the total school
population, the special education population, including the students with ASD, and the
special education teachers.
Table 6 Demographic Data for District
2015-2016 Lemon
Student Population 8,368
Special Education Population 646
ASD Population 214
Special Education Teacher * 48
Note: * denotes special education teacher population for the 2016-2017 school year.
89
Data Collection
The researcher contacted a representative of the Lemon district who contacted eligible special education teachers who met the criteria of NCLB (2002) highly qualified teachers and serviced students with ASD as a special teacher in a classroom setting in
May, June, or August 2017. These teachers were contacted via e-mail through the assistant superintendent, who forwarded the cover letter with a link to the survey provided by the researcher. In order to continue with the survey, participants needed to first provide informed consent to participate and acknowledge that they can withdrawal their consent at any time.
Included in the invitation to complete the survey was informed consent. The researcher received internal review board (IRB) approval to conduct research with human subjects from her respective institution of higher education (IHE). As part of the e-mails
to district representatives, an introduction letter stating the nature of the survey was
included. The letter contained an introduction of the researcher, confidentiality, where
data may be utilized, and informed consent. Informed consent stated that participants
were not required to participate and described discomforts that may occur as a result of
their participation, such as time to complete the survey. Participants were also informed
that they may withdraw their consent at any time. Contact information for the researcher
and the IRB were provided in case of questions or concerns. The link to the survey was
also included. Once participants selected the survey, the cover letter was again provided.
Before participants were allowed to continue to the survey, they had to acknowledge by
selecting yes, they consent to participate in the survey. The survey was administered
online using Qualtrics over a three-week time span between May 2017 through June
90
2017. Reminder emails were sent to encourage a response. The survey was opened again in August 2017 to gain more respondents. The same procedure was followed with emails from the researcher forwarded from the representative of the district. A reminder email was sent out after a week and then a final reminder e-mail was sent out before the survey was closed.
Data Analysis
A total of 12 elementary educators that included one emotionally disturbed class, two participants who taught adult students, one occupational therapist (OT), and one adapted physical education (APE) responded to the survey. The elementary educator data were included because they met all previous criteria. Because the response rate was low, the adult educators’ data were also included. Since the OT and APE are service providers and not educators their responses were excluded from analysis. One respondent only completed the demographic data so their responses were excluded. The targeted sample was 48 educators. However, the actual sample was n=12 (25%).
Durlak and DuPre (2008) recommend for an implementation to be considered successful, it should be used by 60-80% of possible participants. For the purposes of this study, a more rigorous definition was utilized with a success rate of 70% or greater of participants reporting use of a practice to adhere to the theme of thorough research design. Since self-report data are not as reliable as observational data, the researcher decided to apply a higher standard of use (Durlak & DuPre, 2008). As O’Connell (2008) argues, there is a need for measurement of the amount of use of a practice as well as investigations into the fidelity of implementation.
91
Frequency data and percentages were reported on the most widely used EBP for the educators. As well, percentages of EBP for students with ASD beliefs were reported.
For open-ended items, open coding was utilized to uncover teachers’ practices and definitions of EBP. The researcher determined initial coding by first reviewing each of the response items. Then, a second review was conducted to identify relevant categories.
The researcher color coded the data looking for similar terms and continued to review, and group responses based on their similarities and nuances, such as “training” and
“conferences” These terms were categorized and used to develop three themes, trainings and conferences, online materials, and preservice programs. Then specific responses were selected to illustrate the themes presented in chapter 4. The researcher consulted with her dissertation chair and committee to in an attempt to ensure consistency and enhance the interpretive validity of the findings (Neuman, 2014).
Validity
While the ATS has demonstrated validity, modifications were made to the survey to report recently developed EBP and to answer the specific questions addressed in this research (Hess et al., 2008; Morrier et al., 2006; Morrier et al., 2011; NPDC, 2016). The modified survey was pilot tested, as recommended by Creswell, (2012) and Saris
Gallhofer (2014), in order to ensure the content validity of the modified survey. Four educators outside of Lemon District completed the survey to ensure the directions and questions were clear and to uncover any technical issues. This was similar to the process reported by Hess et al. (2008) and Morrier et al. (2011) in their review of the validity of the ATS instrument. While the original ATS was determined to be reliable, the
92
modifications to the survey may affect the validity of the current instrument (Hess et al.,
2008; Morrier et al., 2011).
While analyzing the data, the researcher used a grounded approach in an attempt
to enhance the interpretive validity of the results. For instance, in vivo coding was
applied to definitions and sources so that the statements accurately reflected participants
responses as a “theory is grounded in the data and it is not forced into categories”
(Creswell, 2012, p. 429; Neuman, 2014).
Positionality
As a special education instructor who entered the profession in support of family members with disabilities, it is important to acknowledge my positionality on the subject of special education. As a representative of both family members and a district representative in IEP meetings, I offer a unique understanding of the special education system. As Hemelsoet (2014) concedes, a researcher cannot be completely separated
from their self, ideas, and beliefs, and these ideas of self-merge together. Accordingly,
my ideas as a mother of a child in special education as well as a conservator of my adult
uncles who have exited the special education system affect my decisions as a special
education instructor.
Summary
This study used a modified version of Morrier et al.’s (2006) Autism Treatment
Survey to further the understanding of EBP within schools by uncovering which practices
are currently being utilized by special educators to support students with ASD and how
special educators are uncovering these practices. Continued research in EBP as well as
universal standards for evaluating research used to identify EBP for students with ASD
93
are needed to provide researchers and the public with a better understanding the reliability and validity of EBP (Odom et al., 2010). Chapter 4 reviews the results of the survey and presents respondents’ definitions of EBP for students with ASD, sources of information regarding EBP, and respondents’ reported use and beliefs of the EBP.
94
CHAPTER 4: RESEARCH FINDINGS
Autism Spectrum disorder (ASD) continues to demonstrate an increased
prevalence in the United States (Baio, 2014; O’Brien, 2013, 2013). Current estimates
indicate between one and fifty and one and sixty-eight people are diagnosed with ASD
(Baio, 2014; O’Brien, 2013, 2013). With the increase in diagnosis, concurrently there
has also been a movement in education that requires evidence–based practices (EBP) to
educate students in schools (NCLB, 2002; Science Education Reform Act, 2002). While
laws require the use of EBP, there continues to be disagreement over what constitutes
EBP for students with ASD. Researchers and organizations have begun to define
practices for special educators’ use and research criteria for evaluating the quality of
methodology (Hess, et al., 2008; Wong et al., 2015). The National Professional
Developmental Center (NPDC; 2016a) offers 27 EBP that have met their criteria. While
EBP are available, Hess et al. (2008) have demonstrated that many educators still do not
utilize EBP.
Morrier et al. (2006) created the Autism Treatment Survey (ATS) to ascertain
which practices were utilized for students with ASD in Georgia. This survey was
adapted as outlined in Chapter 3, to determine which EBP special educators in Lemon
USD, the targeted district in California, were utilizing after undergoing training by the
NPDC (2016) to improve EBP implementation for students with ASD. This Chapter
presents the survey results and answers the following research questions:
• How did special educators in the Lemon School district define EBP for students
with ASD?
• What sources did they use to incorporate EBP for students with ASD?
95
• What EBP and nonEBP for students with ASD did special educators use were
EBP to address communication, behavior, social, and academic deficits and did
they believe the practices were EBP?
The Chapter begins by providing demographic data on the respondents. Next the
respondents’ definitions of EBP, and the sources of information they use for EBP are
reported. The chapter ends by summarizing the EBP and nonEBP respondents use to
address communication, behavior, social and academic needs of students and their beliefs
about their EBP status.
Respondents
The survey was sent to 48 special educators in the Lemon school district and
25% (n=12) respondents met the criteria of teaching in the district and serving as special
education teachers or adult educators that work with adults with ASD. Six respondents from other districts along with two service providers who instruct in occupational therapy
(OT) and adapted physical education (APE) were eliminated from the analysis because they did not meet the criteria. Creswell (2012) acknowledges that a large response rate allows findings to be more generalizable, but “even a small return rate may not be biased and be acceptable in survey research” (p 390). Since not all of the participants responded to each open response survey question, the total number of responses presented varies by question.
Classroom Demographics
The classroom demographics of educators by students’ age range are provided in
Figure 2. Among the 12 participants that responded to all items, 2 (17%) indicated they
taught three ranges of ages and 1 (8%) indicated they taught two age ranges. Among the
96
survey respondents, 2 (17%) indicated they taught children five years or younger (pre- school and transitional kindergarten, 2 (17%) indicated they taught children 5-7 years
(kindergarten to 2nd grade), 5 (42%) mentioned they taught older children 8-10-years (3rd-
5th grade) 4 (33%) mentioned they taught older children 11-13 (6th to 8th grade), and no respondents mentioned they taught adolescents 14 - 17. In addition, 2 (17%) indicated they taught 18- 22 year olds (adult, and adult transition). Their response data were included to generate more information about the districts’ practices.
18 or over
11-13 years
8-10 years
5-7 years
5 years or younger
0 1 2 3 4 5 6
Figure 2. Respondent Educators Students' Age Ranges Figure 3 presents the number of respondents who held different credential types. As noted in the figure, the certification held by respondents also varied. Five of the respondents (42%) also held more than one credential with one (8%) participant holding three credentials. Among the 12 participants who responded to this question, only 3 (25%) of the respondents indicated they held an autism authorization with 5 (42%) also indicating they held a clear moderate to severe credential. The majority held other
97
credentials with 6 (50%) of respondents holding either a single subject general education credential, intern credential, or an early childhood credential. Only 1 (8%) participant held a preliminary mild/moderate credential, and 1 (8%) participant a clear moderate to severe credential. The respondent who taught emotionally disturbed, one participant (8%) stated they did not hold any credentials.
Other
Clear Moderate/Severe
Preliminary Moderate/Severe
Clear Mild/Modertate
Preliminary Mild/Modertate
Autism Authorization
0 1 2 3 4 5 6 7 Number of Type of Credentials Held by Respondents
Figure 3. Types of Credentials Held by Respondents Figure 4 displays the type of classroom teachers used in servicing students with
ASD. Among the 12 participants that responded to this question, 31%, taught specialized academic instruction, and another 2 (17%) taught self-contained ASD classes. Another
23% of respondents indicated they taught other classroom types such as moderate to severe intellectually delayed (ID) which would also be considered specialized academic instruction, emotionally disturbed, and early start. Including the classes that were ID moderate to severe and emotionally disturbed in specialized academic instruction brought the percentage up to 50(6). Two respondents (15%) taught adult transitions.
98 When asked how long they had taught students with ASD, 50% (6 out of 12) of the respondents indicated the same amount of years of service. One of the respondents indicated she had not taught students with ASD, but also stated she had taught over 250 students with ASD in her career; her responses were included to acknowledge what she had learned about EBP and her definition of EBP. When asked about the numbers of students with ASD they had taught over the course of the career, the number of students ranged from 0 to 250, and one respondents indicated hundreds. The average of students serviced with ASD was 30.
Figure 4. Type of Classroom of Respondents
Figure 5 presents the total years of education service for respondents. Among the
12 participants who responded, 33% (4) had taught three years or less, and 17% (2) of those were first year teachers. None of the participants taught between 4- 9 years, and one participant taught between 10-20 years (8%), with the majority of 7 out of 12, 58%,
99
of participants with 17 to 42 years’ experience. Three (25%) had taught between 20-30 years, and 4 (33%) had taught over 30 years.
33% 33%
8% 25%
1-3 years 10-20 years 20-30 years 30 or more
Figure 5. Respondents Years of Teaching Experience by Percentage Definition of Evidence-basedPractices
To discover special education teachers’ definitions of EBP for students with ASD, participants were asked to respond to item 10, “Please type in an answer that explains your use of evidence-based practices with students with Autism Spectrum Disorder
(ASD). How do you define Evidence-basedpractices for students with ASD? (short answer) Please explain.” Ten of the 12 participants responded to this item and based on in vivo coding, the following two themes emerged: (a) EBP are from research, and (b) variety of practices. Percentages will not add to 100% due to the overlap of responses by participants. Of the respondents, 8 of 12 (75%) provided a definition of the practice.
While the majority could define EBP, 4 of the respondents (25%) did not provide a
100
definition, stated they were not familiar, or EBP was not applicable to their current situation.
EBP Are from Research
The majority of respondents, 6 of the 12 (50%) identified EBP as research that support students with ASD by the use of strategies. One participant defined EBP as
“specific, well-defined practices that have been more than empirically shown to be effective - practices that result in measurable evidence of effectiveness.” Two others provided similar definitions stating, “Current evidence shows that these teaching techniques work,” and “Practices that have been studied and found to be effective.” Many of the respondents’ definitions emphasized outcomes with labels such as “effective”,
“positive results,” “measurable effectiveness,” and as noted in IDEA (2004) “educational benefit.” One participant identified the National Professional Developmental Center
(NPDC) on Autism Spectrum Disorder (ASD) declaring that “best practices that are supported by research, e. g. the 27 EBPs defined by the NPDC.” Five out of six respondents (80%) who identified EBP as research, also stated they were “tasks”,
“routines”, “strategies”, or “techniques” that lead to results, while one respondent simply stated EBP “are strategies to implement with the instructions of students with autism.”
Variety of Strategies
Of those that responded, three of the respondents out of the 12 (25%) identified specific practices that can be used with students. Two of the 3 (67%) respondents stated visual supports (cues), modeling, and social stories (social narratives). Additionally, listed by 1 of the 3 (33%) respondents were the specific practices of task analysis,
101
reinforcements, prompting, and redirection. As well, one additional respondent indicated, “the 27 EBPs defined by the NPDC.”
Several patterns emerged with respondents who did not answer question 10 or indicated they did not have students with ASD; 4 of the 12 or 33% of the respondents did not answer the question or indicated they did not have any students with ASD. One participant wrote simply “ASD” as their definition. The age range of students that educators taught included those working with under 5-year-old students for 2 out of 4 of these respondents. As well, 2 out of 4 respondents (50%) indicated they had taught 0 students with ASD this year. Respondents on questions related to sources of support also suggested they “do not know,” had never had training, or did not answer the source questions.
Of the respondents, 8 of 12 (75%) provided a definition of EBP. While the majority could define EBP, 4 of the respondents (25%) did not provide a definition, stated they were not familiar, or EBP was not applicable to their current situation.
Exploring avenues that provided their sources for support for these definitions were also explored and are revealed in the next section.
Sources of Trainings
To answer question 2, “What sources did they use to incorporate EBP for students with ASD?” respondents were asked to provide a short answer to two items. These questions were to uncover the sources that provided information to the special educators on of EBP for students with ASD and identify what source(s) they found as the most useful. Ten of the 12 (83%) of the participants responded to item 41 that asked, “Which sources of trainings have provided information on the use of EBP specifically geared
102
toward students with ASD?” Eight of the 12 participants (75%) responded to item 42 that asked, “What sources of training have been the most useful. Please explain.” The following in vivo codes, emerged: (a) trainings and conferences, (b), online materials, and (c) courses. The most common reported source of support were trainings, and the least common reported source were online materials.
Trainings and Conferences
Among the 10 participants that responded to item 41, 6, or 60%, identified trainings and conferences as sources of information for EBP for students with ASD, and one respondent, with 37 years of teaching experience, specified trainings inside the district and specific agencies outside the district. The other, 5 (80%) respondents did not specify whether the training occurred inside or outside the district. One respondent specified hands on training, “information provided in conjunction with hands on experience, modeling or video examples, coaching by experienced practicioner (sic).
NOT powerpoints (sic)”. One (8%) participant mentioned support based on individual needs and those listed to provide the support were occupational therapist (OT), speech therapist, and by a separate respondent an individual to provide support were specialists.
Trainings for specific EBP and programs were also identified by 2 of the responses to question 41 and 42 of the 10 respondents who answered the questions. The
EBP they listed included, discrete trial teaching (DTT), structured teaching, augmentative and alternative communication (AAC) - a type of speech generating device, picture exchange communication system (PECS), applied behavior analysis (ABA) another name for applied behavior intervention (Spreckley & Boyd, 2009), and pivotal response training (PRT). While acknowledging EBP, a few respondents also recognized additional
103
trainings, such as Crisis Prevention Intervention (CPI, 2017) - a preventative and
interceptive practice for professionals to safely respond to violent, anxious or hostile
individuals; Cardio-Pulmonary Resuscitation (CPR); and a speaker named Temple
Grandin, for providing useful information. Temple Grandin is a professional living with
ASD who writes and presents about her experiences as an adult with the disorder and advocates for students (Grandin, 2012). General trainings and conferences were also included in the responses. Those identified as the most useful sources by one respondent were the website of CAPTAIN, training, and specialist.
Online Materials
Among the 10 participants that responded to either question providing sources, 3
or 30% also listed “Online materials,” and all three respondents indicated they taught a
self-contained autism class, though one was a transition program for adult students. One of the respondents who taught a self-contained classroom and possessed both an ASD authorization and an intern credential, mentioned the California Autism Professional
Training and Information Network (CAPTAIN, n.d). The website, discussed in Chapter
2, contains training materials for video modeling, reinforcement, and visual supports
(CAPTAIN, n.d). Also, one participant, who taught adult educators and for 25 years, mentioned professional publications, but did not stipulate journal or research articles.
Courses
Among the 10 who responded to item 10, 2 or (20%) identified courses taken in their credential program as sources for EBP. Furthermore, both respondents listed the same local college stating, “classes at CSUSB [California State University San
Bernardino]” and “courses as part of my credential program at CSUSB”. Both of these
104
respondents were novice educators with only 1 year of teaching experience. Both mentioned working with students with ages ranging from 11-13 years old, with one also including students 5-10 years old. Interestingly, when asked how they define EBP, both of these respondents mentioned that EBP occurs from researched practices. The same two respondents listed their CSUSB courses as the sources they thought were the most useful. None of the respondents suggested the autism certification as a source of training, though newly credentialed educators would have this built into their credential program.
Evidence-basedPractices Use or Nonuse and Beliefs
In order to address the research question 3, “What EBP and nonEBP for students with ASD did Inland Empire (IE) special educators use and believe were EBP to address communication, behavior, social, and academic deficits?” participants were asked to indicate if they have used each of the 27 EBP (yes versus no) and if they believed a practice was an EBP (yes, no, unsure). The research applied Durlak and DuPre’s framework to identify EBP with the total respondents indicating they used a practice at greater than 70%. Table 7 provides an overview of the results in order of percentage of
EBP reported use (i.e., from most to least reported use) under the headings of communication, behavior, social skills, academics, and multiple domains for each practice. For the 27 EBP practices included in the survey, 21 or 78% met this 70% standard. Next, Table 8 presents the results in order of percentage of EBP use (from most to least reported use) along with the percentage of respondents that believed the practice was an EBP. The section concludes, with a detailed analysis of participants’ responses for each category (communication, behavior, social skills, academics, and multiple domains).
105
Response Rates at the 70% Standard
Table 7 presents a summary of EBP response rates for the 12 participants that responded as yes, they used the practice for each EBP. As shown in Table 7, 91-100% of the respondents reported they used 10 or 37% of the 27 listed EBP, 81-90% reported they used 8 or 30% of the listed EBP, and 3 or 11% reported they used 70- 80% of the listed
EBP. Only 6 or 22% of the EBP did not meet the 70% standard.
Table 7 EBP with Total Responses Greater Than 70%
Percent Communication Behavior Social Skills Academics Multiple Domains 91-100% n/a Antecedent Social Skills n/a Modeling; Based Training Naturalistic Interventions; (Groups) Interventions; Differential Prompting; Reinforcement/ Task Analysis Reinforcement; and Training; Extinction; Time Delay; Functional Behavioral Assessment
81-90% Picture Response Social n/a Exercise (ECE); Exchange interruption/ Narratives Visual Supports; Communication Redirection (Stories); Functional System (PECS) Peer Communication Mediated Training (FCT) Instruction/ Intervention; Structured Play Groups
70-80% n/a n/a n/a Discrete Computer Aided Trial Instruction and Teaching Speech Generating Devices
Note. Not applicable is signified by n/a in the table.
106
Of the domains, multiple domains and behavior had the most reported use at the
70% standard or greater. Multiple domains had 10 of the 12 or 83% of the practices meet the standard. For behavior 5 of the 6 (83%) of the EBP met the implementation standard.
Social skills had 5 out of 6 (83%) meet reported use, but of the 100% reported use practices, none fell under the domain of social skills. Behavior had the most practices implemented at 100% with 4 out of the 5 meeting the 70% criteria implemented at 100%.
Modeling, and naturalistic interventions under multiple domains were also implemented at 100% and address behavior. All EBP that met 100 % reported use occurred under behavior or multiple domains. Practices utilized by 100% of the survey participants included: modeling, prompting, naturalist intervention, extinction, functional behavioral assessment, and direct reinforcement/ reinforcement.
Table 8 provides an overview of respondents reported EBP reported use and beliefs. For each question, respondents were given the option to state if they had used a practice (i.e., yes, I have used it or no, I have not used it) and to assess their belief about the evidence-base (i.e., yes, it is an EBP, no it is not an EBP, or I am unsure if it is an
EBP).
Data from this survey support that the majority, 22 of the 27 EBP, were being utilized by 70% or more of the respondents with several practices being utilized by all of the respondents. Practices utilized by 100% of the survey participants included: modeling, prompting, naturalist intervention, extinction, functional behavioral assessment, and direct reinforcement/ reinforcement. When asked to describe other practices not listed on the survey they utilized, only 2 practices emerged; the nonEBP of a gluten free diet and sensory strategies (Lang et al, 2012; Rossignol, 2009; Widyahening
107
& Ismail, 2011). The next section provides a summary of results for each of the EBP use
and belief listed by domain and level of reported use, with the most utilized practices discussed first. Meaningful patterns that emerged based on respondents’ demographics are discussed. Last, the open response practice items identified by participants are revealed.
108
Table 8 EBP Reported Use and Belief as an EBP
EBP Yes, I have No, I have Yes, it is an No, it is used it not Used it EBP not or I am unsure it is an EBP Naturalistic Interventions 100% 0% 67% 33% Differential Reinforcement, 100% 0% 75% 25% Reinforcement Extinction 100% 0% 67% 33% Modeling 100% 0% 67% 33% Prompting 100% 0% 83% 17% Antecedent based interventions 100% 0% 58% 42% Functional Behavioral Assessment 100% 0% 67% 33% (FBA) Task Analysis and Training 92% 8% 92% 8% Time Delay 92% 8% 75% 25% Discrete Trial Teaching 92% 8% 92% 8% Social Skills Training 92% 8% 58% 42% Visual Supports 92% 8% 83% 17% Exercise (ECE) 92% 8% 50% 50% Structured Play Groups 83% 17% 58% 42% Response interruption; Redirection 83% 17% 67% 33% Peer Mediated Instruction/ 83% 17% 50% 50% Intervention Social Narratives (Stories) 83% 17% 75% 25% Picture Exchange Communication 83% 17% 75% 25% System (PECS) Functional Communication 75% 25% 67% 33% Training (FCT) Parent Implemented Interventions 75% 25% 58% 42% Computer Aided Instruction and 75% 25% 75% 25% Speech Generating Devices Pivotal Response Training (PRT) 67% 33% 75% 25% Cognitive Behavior Interventions 67% 33% 50% 50% Scripting 67% 33% 58% 42% Video Modeling 58% 42% 42% 58% Self-Management 50% 50% 42% 58% Note. Items under the line indicate not meeting reported use standards.
109
Communication
Only item 22, Picture Exchange Communication System (PECS) falls under the
communication category. Among the 12 participants that responded, 10 or 83% indicated
they used PECS and the majority, 9 (75%) correctly indicated that it was an EBP. Two
respondents, both who held other credentials and taught 11 – 13-year-old students, were
unsure of its EBP status, both not using it. One respondent, who also held other
credentials and taught 11 – 13-year-old students, reported using but was unsure if it was an EBP (8%). Since only one item fell under this category, other communication practices are highlighted under multiple domains. The percentage of reported use and belief about PECS are provided in Table 9.
Behavior
Behavior items included EBP that addressed preventing and improving behaviors.
As shown in Table 8, item 20, differential reinforcement or reinforcement, item 30
extinction, and item 31, antecedent based interventions (ABI) had reported use rates of
100%. Item 36, Functional behavior assessments (FBA) had a reported use rate of 90%.
Item 35, Response interruption and redirection (RIRD) or redirection, had a reported use
rate of 83%. Item 25 Cognitive behavior interventions had a reported use rate of 63%.
Table 9 lists each of the response percentages for EBP that fall under behavior and the
communication and includes the percent of respondents that either believed or did not
believe the practice was an EBP. Following the table, each of the EBP outcomes are
detailed.
110
Table 9 Communication and Behavior EBP Responses by Percentage of Reported Use and Belief
EBP Use Belief Nonbelief Differential 100% 75% 25% Reinforcement; Reinforcement Extinction 100% 67% 33% Antecedent Based 100% 58% 42% Interventions Functional 100% 67% 33% Behavioral Assessment Picture Exchange 83% 75% 25% Communication System (PECS) Response interruption; 83% 67% 33% Redirection Cognitive Behavior 67% 50% 50% Intervention
Item 20, Differential reinforcement or reinforcement was reportedly used by all
12 or 100% of the respondents, and 9, 75%, believed it was an EBP. Next, 2 respondents
(17%) reported they used it, but thought it was not an EBP. One reported using reinforcement (8%), but was unsure of its EBP status.
Item 30, extinction was similar to reinforcement a 100% reportedly used rate (12 respondents) and 8 (67%), also believing it was an EBP. In contrast, one respondent that reported using the practice believed it was not an EBP and 3 respondents (25%) that reported using the practice were unsure if it was an EBP. The two respondents (100%) that were unsure if it was an EBP both taught students under five years.
Item 31, antecedent based interventions were reportedly utilized by all 12, 100% of respondents and it was believed to be an EBP by 7 respondents, or 58%. While 2 respondents (17%), reported using antecedent based interventions, they believed it was
111
not an EBP and 3 (25%) respondents that reported using it, but were unsure if it was an
EBP.
Item 36, functional behavioral assessments (FBA) had reported utilization by all
12 (100%) of the respondents and 8 respondents (67%) believed it was an EBP. While
all of the respondents reported using FBA, 2 (17%) were unsure of its EBP status. Two
respondents, 17%, reported using it, but thought it was not an EBP. The two educators
who taught children under five selected they used it, but were unsure if it was an EBP.
Both (100%) of the respondents who selected yes, they had used it, but no it was not an
EBP held clear moderate to severe credentials.
Item 35, response interruption or redirection was reported to be used by
respondents with 10 out of 12 (83%) having used the practice and 8 out of 12 (75%),
believing it was an EBP. Another 6 respondents (67%) agreed it was an EBP and had
reported using it, but 2 (17%) reported using it while believing it was not an EBP. An
extra 2 respondents (17%) reported utilizing response interruption or redirrection, but
were unsure of its status as an EBP. An additional respondent (8%) stated they had not
used it, but thought it was not an EBP. Both (100%) respondents who taught self-
contained classes used it and believed it was an EBP.
Item, 25, cognitive behavior intervention had 75% or 8 respondents out of 12 respondents reported using it and 6 (50%), believed it was an EBP. Another 2 respondents (17%) used it, but stated that it was not an EBP. In addition, one respondent
(8%) indicated they had not used it, but believed it was an EBP. Three (25%) of those surveyed had not used it and were unsure if it was an EBP. All of those with an ASD certification, 3 (100%) identified it was an EBP and that they used this practice, and both
112
educators who taught under five year olds were unsure of cognitive behavior being and
EBP.
All but cognitive behavior interventions, had a high reported use rate over or equal to 90%. This indicates a need for behavior interventions when servicing students with ASD and will be discussed further in Chapter 5.
Social Skills
Social skills EBP items are described next and are summarized in Table 10. The first practice, item 32, social skills training (groups), had a reported use rate of 92%. Item
18, peer-mediated instruction or intervention had a reported use rate of 82%. Item 26, social narratives and Item 38, structured play groups reported use rate were both 83%.
Item 23, pivotal response training (PRT) had a reported use of 67%, while item 37, self- management, had a reported use rate of 50%. Table 10 shows the percentages of each response for social skills and academic practices by percentage of use and also contain the percentage of belief as an EBP.
Table 10 Social Skills and Academic EBP By Percentages of Reported Use and Belief
EBP Use Belief nonbelief Social Skills Training 92% 58% 42% (Groups) Discrete Trial Teaching 92% 92% 8% Peer Mediated 83% 50% 50% Instruction/ Intervention Social Narratives 83% 75% 25% (Stories) Structured Play Groups 83% 58% 42% Pivotal Response 67% 75% 25% Training (PRT) Self-Management 50% 42% 58%
113
Item 32, social skills training (groups) had a reported use rate of 11 of 12 or (2%) respondents and 7 respondents (67%), believed it was an EBP. Two respondents (17%) did not believe it was an EBP, and 1(8%) was unsure if it was an EBP. One participant
(8%) was unsure of it as an EBP and had not used it.
Item 18, peer-mediated instruction or intervention had a reported use rate of 8 out of 12 (75%), and (6) 50%, believed it was an EBP. Five out of 12 respondents (42%) reported they had used it and believed it was an EBP, but an additional 2 respondents
(17%) had used it while unsure if it was an EBP. Another 3 respondents reported using peer-mediated instruction, but believed it was not an EBP. Two respondents (17%) reported they had not used it, one believing it was an EBP and the other unsure of its EBP status. Both (100%) educators who taught under five year olds were unsure if it was an
EBP.
Item 26, social narratives, or social stories, were reportedly used by 10 out of 12 respondents (83%) and 10 (83%) also had the belief of social narratives as an EBP. Of those who used the practice, two (17%) were unsure of its EBP status, but none of the respondents believed it was not an EBP who used it. A different participant (8%) reportedly had not used social narratives and thought it was not an EBP. Furthermore, one respondent (8%) had not used it, but believed it was an EBP.
Item 38, structured play groups had a reported use rate of 8 out of 12 (67%) and 9
(75%), believe it was an EBP for students with ASD. Eight respondents, (67%) used the practice and thought it was an EBP. One respondent (8%) reported using the practice and was unsure of its EBP status and one selected reported use, but thought it was not an
EBP. For the four respondents who indicated they had not used the practice, one (8%)
114
believed it was and EBP, another believed it was not, and the final 2 respondents (17%)
indicated they were unsure if structured play groups were an EBP. The two respondents
(100%) who taught self-contained classes used and identified structured play groups as an
EBP.
Item 23, PRT had 8 of 12 respondents (67%), believed PRT was an EBP for students with ASD. Among those respondents, 4 (42%) reported they had not used the practice. One respondent (8%) reported having used PRT while not believing it was an
EBP. One (8%) respondent had not used it and was unsure about PRT being an EBP.
The two respondents who had reported not using the practice and were unsure if it was an
EBP held clear moderate/severe multiple subject credentials.
Item 37, self-management had a reported use rate of 6 out of 12 (50%) and 7 out of 12 (58%) believed it was an EBP. Of the respondents, 5 respondents (42%), reported use and thought it was an EBP with one respondent (8%) reporting using it, but not believing it as an EBP. This practice had the lowest reported use rates of all the 27 practices. Three respondents (25%) were unsure of self-management as an EBP, and 2
(17%) respondents did not use it, but believed it was an EBP. One respondent (8%) selected that they had not used it and thought it was not an EBP. Both (100%) self- contained ASD classes reported using self-management and thought it was an EBP. As well, both (100%) of the educators who taught under 5-year-old students were unsure if it was an EBP and reported they had not used self-management.
Only two of the six social skill practices, self-management and PRT, did not meet the 70% reported rate for use. Possible explanations for this and the higher use rates of the other practices is discussed in chapter five. Academic practices are reviewed next.
115
Academic Skills
Item 13, discrete trial teaching (DDT), was the only practice identified
exclusively under academic skills; others are reviewed under multiple domains. DDT
had 11 out of 12 (92%) of respondents use it and think it was an EBP. One participant
(8%) reported use of DDT while believing it was not an EBP. One respondent (8%) had
yet to use it though they also agreed it was an EBP. The participant who stated he had not
used it also stated they taught students under 5 and held an early childhood credential.
The percentages of use for DDT is included in Table 10 with social skill frequencies as
only one practice was identified exclusively to primarily address academic skills. The
respondent who had not used the practice, but believed it was a EBP taught students
under 5 years old. Both (100%) of the self-contained instructors reported utilizing the
practice and identified it as an EBP. The final category, multiple domain respondents’ answers are discussed next.
Multiple Domains
Table 11 presents the reported use and belief of respondents for each of the
multiple domain practices. Item 27, modeling, item 15, naturalistic interventions, and
item 12, prompting, had reported use rates of 100%. Item 16, task analysis, and item 21,
time delay, had reported use rates of 92%. Item 24 visual supports, and item 17 exercise
had reported use rates of 92%. Item 34, functional communication training (FCT) had a
reported use rate of 83%. Item 14, computer aided instruction and speech generating
devices, had a reported use rate of 75%, followed by item 19, parent implemented
interventions, and item 29, scripting, each with a reported use rate of 67%. Item 28, video
modeling (VM), had a reported use rate of 58%, the second lowest of all the EBP.
116
Table 11 Multiple Domains EBP by Percentage of Reported Use and Belief
EBP Use Belief nonbelief Modeling 100% 67% 33% Naturalistic 100% 67% 33% Interventions Prompting 100% 67% 33% Task Analysis and 92% 92% 8% Training Time Delay 92% 75% 25% Visual Supports 92% 83% 17% Exercise 92% 50% 50% Functional 75% 67% 33% Communication Training (FCT Computer Aided 75% 75% 25% Instruction and Speech Generating Devices Parent Implemented 75% 58% 42% Interventions Scripting 67% 58% 42% Video Modeling 58% 42% 58%
Item 27, modeling was reported to be used by 100% of the 12 respondents and 8 out of 12 respondents (67%) believed it was an EBP for students with ASD. Of the respondents, 8 (67%), believed it was an EBP. One (8%) thought it was not an EBP, and
3 (25%,) were unsure if it was an EBP.
Item 15, naturalistic interventions were another EBP reported to be utilized by
100% or 12 of the respondents and 8 (67%) believed it was an EBP for students with
ASD. Two respondents (17%) believed it was not an EBP, and 2 other respondents were unsure (17%) if it was an EBP.
Item 12, prompting was reportedly used by 100% of the 12 respondents and 10
(83%) believed it was an EBP for students with ASD. One respondent (8%) believed it was not an EBP, and 1 indicated they were unsure (8%) if it was an EBP. One respondent
117
(8%) who taught students in the 10-year-old age range, thought it was not an EBP and held an other credential.
Item 16, task analysis and training was reported to be used by 11 out of 12 (92%)
respondents, and 10 (83%) respondents thought it was an EBP. One (8%) reported they
had used the practice, but that it was not an EBP. One (8%) respondent thought it was an
EBP, but had not used task analysis. The respondent who identified it as a nonEBP held
a preliminary M/S credential.
Item 21, time delay, like task analysis, was reportedly used by 11 out of 12 (92%)
of respondents and 8 (67%) believed it was an EBP. Similarly, one respondent (8%) used
it, but thought it was not an EBP and also one respondent (8%) used it, but was unsure if
it was an EBP. The one respondent who had not used the practice, was unsure if it was
an EBP, for a total of 2 (17%) of the respondents unsure of its status as an EBP. Nine
respondents (75%), believed it was an EBP and also reported using the practice. Both
(100%) educators who taught the under five-year-old age group were unsure if it was an
EBP. Both educators who taught adults reported utilizing time delay.
Item 24, visual supports were also used reported to be used by the majority of the
respondents, 92% or 11 out of 12. In addition, the majority, 83%, 9 respondents,
believed it was an EBP. Only one participant believed it was not an EBP and one was
unsure of its EBP status who reported using it. One respondent 8%, had not used it, but
believed it was an EBP. The respondent who had not used it taught students under five
years old. All the educators for ages 5-13 and adults reported using the practice.
Item 17, exercise was also highly reported to be used by respondents with a total
of 92% or 11 out of 12 respondents and 6 believed it was an EBP. Exercise had one of
118
the lowest beliefs about its EBP status with only 6 (50%) of those who used it though it
was an EBP and another 3 (25%) were unsure if it was an EBP. One respondent (8%)
thought it was not an EBP and had not used it. Both respondents who taught under five-
year-olds reported using it, but were unsure if it was an EBP. Every respondent (4) who
had an other credential reported using exercise. Both (100%) adult educators reportedly
used the practice and thought it was an EBP.
Item 34, FCT was reported to be used by 10 respondents out of 12 (83%) and 6
(50%) believed it was an EBP. Of those 10 that used it, 5, 50%, believed it was an EBP,
2 (20%) believed FCT was not an EBP, and 3 (30%) were unsure if it was an EBP. Five
out of 6 (83%) respondents who acknowledged it as an EBP reported to use it. Another 3
(25%) respondents reported not using it with those split with 1 (8%) thinking it was an
EBP, 1 thinking it was not an EBP, and the 1 unsure of its stance as an EBP. Both of the
respondents who taught under five-year-olds were unsure of its status as an EBP.
Item 14, computer aided instruction or speech generating devices also had 9 of 12
respondents, 83% report to use the practice and believe it was an EBP. Eight (67%)
reportedly used the practice and thought it was an EBP. Next, one (8%) reportedly used
it and thought it was not an EBP (8%). Three respondents (25%) had not used the
practice with one (8%) each believing it was an EBP, not sure if it was an EBP and
stating it was not an EBP. This practice was not utilized by any of the respondents who
taught students under five years old, but was reported to be used by all respondents who
taught 5-10 year olds (100%). Again, both (100%) teachers of self-contained ASD classes reported using the practice and recognized the practice as an EBP for students with ASD.
119
Item 19, parent implemented interventions had a reported use rate of 9 of the 12
(75%) respondents reported to use the intervention and 5 (42%) believed it was an EBP.
Three (25%) respondents thought it was not an EBP. One (8%) respondent was unsure if
it was an EBP. There were 3 respondents (25%), who mentioned they had not used the
practice and those were split with 2 (17%) believing it was an EBP and the other 1 (8%)
unsure it is was an EBP. Both educators who taught 5-7-year-olds reported they had used
parent implemented interventions.
Item 29, scripting had a reported use rate 8 of out of 12 (67%), and the 7 (58%)
believed it was an EBP. Of the 7 respondents (58%) who thought it was an EBP, 5 (71%)
respondents reportedly used it, and 4 (29%) respondents had not. Another 4 respondents
(33%) were unsure if it was an EBP, of those 2 (50%) respondents had not used the
practice and 2 (50%) had used scripting. One respondent (8%) identified it as a nonEBP,
and that respondent reported using scripting. Both of the educator respondents for
students under 5 years were unsure if it was an EBP.
Item 28, video modeling (VM) had the second lowest reported use rate of the 27 practices with 7 out of 12 (58%) respondents and the same for belief. Only 5 out of 7
(71%) reportedly used the practice believing it was an EBP. One (8%) believed it was not
an EBP and one (8%) was unsure if VM was and EBP that reported to use VM. Four
respondents (33%) were unsure if VM was an EBP. Both (100%) adult educators
reportedly used VM. Both (100%) educators who taught students under five had not used
it and were unsure if it was an EBP.
120
Open Responses
Open responses were collected for question 39, “Please describe and explain any
other practices you are using.” For write in items, only three practices were reported by
one participant. The first differential reinforcement (DRO or DRI) was included in the
multiple-choice options. Two new practices included were the nonEBP of a gluten free diet and sensory integration. These items were identified by the head start teacher who taught students 5 or younger, who had also been teaching students with ASD for over 30 years. No additional details were provided so it was unclear what type of sensory support the participant referred such as auditory integration, sensory integration, weighted vests, or another type of sensory support. This respondent had also identified teaching 20 students with ASD in the course of their career.
Overall, the survey respondents indicated they utilized the majority of EBP for
students with ASD (22 out of 27). While all were reportedly used, some appear to be
more utilized then others with 7 practices reportedly used by all respondents: modeling,
extinction, prompting, differential reinforcement (reinforcement), functional behavioral
assessment, naturalistic intervention, and antecedent based interventions. Five practices
were not utilized at the 70% reported use standard: pivotal response training, cognitive
behavior therapy, scripting, video modeling and self-management.
The data suggest that while improvements have been made in knowledge of EBP,
there is still room for improvement as 16 of the 27 (59%) practices did not have both the
knowledge and reported use of the practice by at least 70% of the respondents. As well,
many of the practices had large discrepancies between the belief of a practice as an EBP
for students with ASD and use with many practices being used when respondents were
121
unsure or believed a practice was not an EBP. In fact, only one practice had a belief higher than its reported use, the under 70% reported used practice of PRT. A discussion of possible explanations for the low or high reported use rates is presented in the next chapter. Chapter 5 also identifies limitations from the current research as well as recommendations for further review and study design.
122
CHAPTER 5: CONCLUSIONS, DISCUSSION, AND RECOMMENDATIONS
Evidence-based practices (EBP), as previously highlighted in Chapters 1 and 2, provide the best available evidence for supporting the communication, behavior, social, and academic needs of students with ASD (Slocum et al., 2012). The framework presented in Chapter 2 demonstrates equity, caring, and competency are necessary for an educator to effectively support students with ASD. Educators need to listen and learn about students’ needs and then provide students with what they need based on their individual characteristics, rather than providing them with services or class types based on what is currently available in the school environment (Carson, 2015; Crockett, 2014;
Ferraioli, & Harris, 2011). In order for this to happen, teachers need effective training to gain competence through preservice programs, authorizations to support students with
ASD, and professional development (PD). All of these features inform the decision- making process of educators to select the appropriate programs and EBP for students with ASD.
Determining EBP requires a review of research methodology along with examination of the practice themselves (Odom, Collet-Klingenberg et al., 2010). While research designs with random assignment are considered the gold standard of controlled research designs, they are not feasible for most research involving students with ASD
(Odom, Collet-Klingenberg et al., 2010). Thus, many authors such as Odom, Collet-
Klingenberg et al. (2010), and Reichow et al. (2008,) and organizations like the Best
Evidence Encyclopedia (n.d.) and NPDC (2016) have created guidelines to help others evaluate the quality of quasi-experimental and case studies to identify EBP for students with ASD (Hess et. al., 2008; Nay & Fetherstonaugh, 2007; Simpson, 2005). Although
123
EBP have been determined, prior research by Hess et al. (2008) suggest that under 30% of educators are utilizing EBP for students with ASD (NPDC, 2016). In their study of
EBP use among educators in the Inland Empire (IE) of Southern California, Stahmer et al. (2005) found that many educators, as low as 23% for some practices, did not report utilizing EBP for students with ASD. This dissertation updates and expands upon
Stahmer et al.’s (2005) research by addressing the following questions pertaining to special educators during the 2016-2017 academic year:
• How did special educators in the Lemon School district define EBP for students
with ASD?
• What sources did they use to incorporate EBP for students with ASD?
• What EBP and nonEBP for students with ASD did special educators use were
EBP to address communication, behavior, social, and academic deficits and did
they believe the practices were EBP?
Chapter 3 detailed the methodology used to address these questions. An online survey
utilizing multiple responses and several short answer questions allowed the researcher
to gain knowledge on the EBP use among special educators in the Lemon District
located in the Inland Empire (IE) region of Southern California. The survey was
distributed to 48 special educators at Lemon USD and 12, including two adult
educators were included in the study. Chapter 4 presented the results of the survey
pertaining to each of the research questions, and this chapter discusses the
conclusions drawn from the results and discusses implications and recommendations
for further research.
124
Conclusions
This researcher sought to discover the definitions, sources, and use of EBP among
special educators in the Lemon school district. The researcher also sought to ascertain the special educators’ beliefs about the practices they reported using (e.g., was each practice considered EBP, non EBP, or was the special educator unsure). The conclusions for each research question are presented next.
How Do IE Special Educators Define EBP for Students with ASD?
Overall the definitions of EBP provided by the special educators were fairly consistent. Most respondents used terms such as “support” and “assist” as well as
“effective or positive results (benefit).” For instance, one respondent wrote EBP were
“studied and found to be effective.” Another mentioned, “They (EBP) provide the
greatest educational benefit, and produce positive results.” Often the respondents
identified specific practices such as PECS or emphasized the research that supported the
use of a practice. Unlike prior research, where the definitions of EBP were provided to
participants, this study allowed educators to provide their own definition for EBP
(Stahmer et al., 2005). In addition, most respondents’ definitions were consistent with the NPDC (2016) that emphasize “positive results” or outcomes, likely due to the fact
Lemon Unified School District had provided two years of training in the 27 EBP identified by the NPDC (2016).
Several teachers also did not provide their definitions of EBP and a few noted defining EBP were not applicable (“n/a”) to their classroom. Odom et al. (2010) has demonstrated with training educators can be taught to use EBP for students with ASD
125
successfully. Educators may need to continue to receive training in EBP for students with ASD to improve EBP use in classrooms.
What Sources do Special Educators Use to Incorporate EBP for Students with
ASD?
This study uncovered three reported sources for learning about EBP among the
Lemon School District special educators: trainings and conferences, online materials, and
preservice training. In addition, several offered no sources with responses such as, “I
have not experienced training in this area.” Unlike the previous study by Hess et al.
(2008), parents and other teachers were not named as sources for learning about EBP.
However, Hess et al. (2008) also cited parents and teachers as the least likely source of
knowledge about EBP for students with ASD. A few participants expressed they were not
aware of sources for training for EBP information. For instance, two respondents listed
their sources of information as “do not know” and “I have no information on this.”
Morrier et al. (2011) found that years of experience did not affect EBP for
students with ASD reported use among special education and general education teachers
in Georgia. Consistent with Morrier et al.’s study (2011), this research found that years of
experience did not affect reported use of EBP for students with ASD. Novice educators
in this study identified their pre-service programs more than trainings, programs, and
online resources; whereas, the veteran educators indicated individual hands on training,
conferences, and training on particular practices as sources for EBP. Online materials,
including journal articles, were only sourced by three of both new and veteran educator
resspondents.
126
Although California requires ASD certification to service students with ASD with coursework in the preservice programs for all mild to moderate and moderate to severe credential holders, only 25% of the respondents stated they possessed this certification
(CTC, 20017). None of the participants acknowledged the ASD certification which indicates it was not considered a major source of bringing attention to EBP for these respondents. Not identifying the ASD certification may also be due to the embedment of the certification into their program by the majority (67%) of the reported moderate to severe credential holders.
What EBP and NonEBP are Teachers Using and Believe are EBP?
Overall, educators reported using some EBP despite their belief in their research base. For example, seven practices were utilized by all respondents: differential reinforcement (reinforcement), extinction, prompting, naturalistic interventions, modeling and antecedent based intervention. Though respondents reported they utilized these practices, they were often unsure of their EBP status. The reported use and beliefs about an EBP ranged from 42% -92% of respondents and not one of the 27 practices had 100% of respondents clear on its EBP status.
The majority of survey respondents had over 20 years of education experience.
Though 31% of the responses were generated from novice teachers, with three or under years of experience, and 54% of the responses were generated from teachers with over 20 years of teaching experience. One of the novice teachers indicated they had served as an assistant for over 30 years. Thus, the results of the survey, may reflect more experienced teachers with over 20 years-experience, though Morrier et al. (2010) found years of experience did not significantly affect EBP for students with ASD implementation.
127
Consistent with Morrier et al. (2010) years of experience did not drastically affect the responses of novice special educators who identified trainings, and online resources at similar rates as their more experiences peers. However, unlike Morrier et al. (2010), they identified their pre-service programs at greater frequencies than veteran special educators.
Earlier, in Chapter 1, prospective domains of need for students with ASD were discussed, including communication, behavior, social, and academic outcomes as well multiple domains for practices that address more than one potential need area. Avenues for further research in each of these areas will be listed in this Chapter while the previous chapter presented the results of the survey, this section offers possible explanations for the outcomes.
Students with ASD may present with needs in the areas of communication (APA,
2013a; Goldstein et. al, 2013, behavior (APA, 2013a; Goldstein et. al, 2013; Hanson et al., 2016; Mahan & Matson, 2011) social skills (APA, 2013a; Goldstein et. al, 2013;
Mahan & Matson, 2011; Schreiber, 2011) and academic skills (Huemer & Mann, 2010;
Jones et al., 2009). Consistent with Stahmer et al. (2005), this study found that special educators reported using EBP with students for ASD. Yet, contrary to prior research by
Stahmer et al. (2005) and Hess et al. (2008), special educators reported using EBP for students with ASD at greater frequencies than in the past. As well, unlike Stahmer et al.
(2005), reported use of a practice did not mean the respondent believed it was an EBP.
Here the majority of EBP for students with ASD had a greater reported use than belief as
EBP.
128
The EBP that did not meet reported use threshold included: pivotal response training (PRT), cognitive behavior interventions, scripting, video modeling, and self- management. While they did not meet the threshold of this study, three of the practices, cognitive behavioral interventions, and scripting met Durlak and DuPre’s (2008) criteria of at least 60% reported use. A discussion of these EBP is presented next in order from most to least reported use.
• Naturalistic interventions
• Differential reinforcement (reinforcement)
• Extinction
• Modeling
• Prompting
• Antecedent based interventions
• Functional behavioral assessment
• Task analysis and training
• Time delay
• Discrete trial teaching
• Social skills training
• Visual supports
• Exercise
• Response interruption and redirection
• Peer mediated instruction (intervention)
• Functional communication training
• Social narratives (stories)
129 • Picture exchange communication systems (PECS)
• Parent implemented interventions
• Structured play groups, and
• Computer aided instruction and speech generating devices
Those that did not meet reported use criteria included: pivotal response training (PRT), cognitive behavior interventions, scripting, video modeling, and self-management. While they did not meet this criterion, three of the practices met Durlak and DuPre’s (2008) criteria of at least 60% with PRT, cognitive behavioral interventions, and scripting with respondents reporting reported use at 67%. The EBP are discussed further in order from most to least reported use.
Communication. Some potential areas of need for students with ASD include concerns in communication such as immature language, odd speech, difficulty maintaining conversations, and staying on topic (Goldstein et. al., 2013). To assist students to communicate effectively, the use of EBP in the area of communication are necessary. Travers et al. (2014) offers that expressing an individuals’ critical thinking should be the purpose of education and the need to express themselves appropriately is necessary to achieve this goal.
Among the EBP to support communication, PECS offered the most promising results. Though educators used it, many were unsure if it was an EBP. The use of this practice was consistent with the rates identified with Stahmer et al. (2005) between 90-
100% of respondents reported implementing PECS in their study compared to 83% in this study, though at the time of Stahmer’s et al.’s (2005) study PECS was considered a promising practice. As well, PECS was reportedly used at a similar rate of other
130
practices that address communication needs in this dissertation, such as functional communication training (83%) computer aided instruction and speech generating devices
(75%) that feel under multiple domains
Behavior. Students with ASD may also exhibit unusual behaviors including self- regulatory behaviors, stereotype behaviors, compulsive and ritualistic behaviors, rigidity, aggression, self-injurious behaviors, language preservation and perseverative interests
(Goldstein et al., 2013; Hanson et al., 2016). These behaviors make educating students in the general education classroom difficult. As well, injuries to the students themselves and others, make interventions necessary for students who exhibit behavior concerns
(Crosland & Dunlap, 2012; Hayes, 2014). EBP for students with ASD to support behavior are discussed next.
Differential reinforcement and reinforcement are derived from clearly established behavioral principles based on operant conditioning (see Pitts, 1971; Ramnero, 2008;
Strickland, 2001). This well-established research base in psychology may have contributed to the reported use of differential reinforcement and reinforcement by 100% of respondents. Extinction may also have benefited from its long-standing history in psychology. It was reportedly utilized by 100% of the respondents and has a clear research based on principles of another well-known theory of behavior, classical conditioning (Hall & Hall, 1998; Gottlieb & Begej, 2014; Hoffman, & Falcomata, 2014;
Pavlov, 1927; Schieltz, Wacker, Ringdahl, & Berg, 2017). The longevity of these behavior principles may have contributed to the reported use of differential reinforcement
(reinforcement) and extinction.
131
All of the respondents indicated they used antecedent based interventions (ABI) and functional behavior assessments (FBA), yet many remained unsure if they were EBP.
Three respondents indicated that they were unsure of ABI as an EBP, and two respondents stated that it was not an EBP. ABI was reported to be used by the educators who taught 8-13-year-old students
Response interruption and redirection (RIRD), had an 83% reported use rate.
RIRD uses reinforcement and is primarily used to address stereotypy (Ahearn et al.,
2007; Martinez & Betz, 2013). Martinez and Betz’s (2013) and Ahearn's et al., (2007) reviews uncovered that all studies investigating RIRD used controlled environments for their evaluations. This lack of use in natural environments may have been a hindrance to the respondents (25%) that reported they opted not to use the practice (Durlak & DuPre,
2008).
Cognitive behavior therapy (CBT) nearly met the criteria of Durlak and DuPre
(2008) with 67% reported usage but did not meet the reported use threshold for this research. Reaven et al., (2012) declared that CBT departs from traditional methods that may make it a more difficult skill for educators to implement, which may account for the reported nonuse by about a third of this study’s respondents.
Besides CBT, all the behavior practices met the 70% reported use threshold for this study, four at 100% reported use. This high reported use of behavioral interventions for students with ASD highlights a possible need that occurs across age groups and classroom types. Both educators instructing an ASD self-contained class reported utilizing response interruption or redirection.
132
Social skills. Social skills are necessary to engage students in positive social interactions (Sperry et al., 2010). Self-isolation may occur in students with ASD which can be problematic as social interactions are necessary to teach academic, social, vocational, and other necessary skills (Carter et al., 2014; Lang et al., 2011). To increase the success of students who may exhibit social deficits, such as lack of initiation of play or engagement such as eye contact, EBP that target these skills can be applied (Strauss et al., 2014). Strauss et al. (2014) also emphasizes that social skills EBP should be utilized to support students with ASD.
Social skills training had a 92% reported use rate that met the threshold for this study and was identified by the majority of respondents (58%) as an EBP. Like the similar practice of structured play groups with 83% reported use and 58% of the respondents believing it was and EBP, a larger percentage of respondents were unsure or did not believe social skills training and structured play groups were EBP. These findings support the NPDC’s (n.d) recent combination of structured play groups and social skills training into one practice. The reliance on students, similar to peer-mediated instruction, may affect why respondents were unsure or did not believe structured play groups was an
EBP (O’Donnell, 2008).
Among the respondents 83% reported they used peer-mediated instruction and
50% were unsure or believed the intervention was not an EBP. As previously acknowledged by Perry et al. (2010) and Odom and Strain (1984), peer mediated instruction is an effective EBP, but only if students are trained to engage in prompting and reinforcement strategies. The fact peer-mediated instruction relies on students and
133
not the teacher may account for the respondents’ lack of clarity regarding its EBP status
(O’Donnell, 2008).
The majority of respondents (83%) reported they used social narratives or stories.
The wide use of the term social story may have branded the practice into widespread use by the efforts of Gray (2017) who promoted the use of social stories to increase social skills in children. In addition, social narratives and DDT were identified as EBP by educators in the IE in Stamer's et al. (2005) research. These practices have continued to generate support as EBP which likely contributed to the high percentage of reported use by the respondents in this study.
Pivotal response training (PRT) fell just under the reported use threshold of this study with 67% reported use. Exposure to PTR within other practices, such as parent implemented interventions (Koegel et al., 2002; Symon, 2005) and self-management training (Stockall & Dennis, 2013) may have contributed to the reported use of the practice by some of the study respondents. Stahmer’s et al.’s (2015) acknowledgment that
PRT can be difficult to implement, may have contributed to about a third of respondents not using the practice.
Self-management was another practice that had reported use rates under acceptable levels. In fact, it had the lowest reported use rate of 50%. Despite being utilized as a component of other techniques such as PRT, it was underutilized by respondents (NPDC, 2016; Stockall & Dennis, 2013).
Academic skills. Another area of need for students with ASD may be academic skills. One of the primary functions of public schools is to provide students with the necessary skills to function in society (Spring, 2015). Knowledge of the three Rs,
134
reading, writing, and arithmetic are and will continue to be an important feature of education in schools. By providing a quality education that addresses the needs of all citizens, in this case students with ASD, schools can promote equal opportunities for their graduates (Spring, 2015). The singular practice under academic skills, DDT, was identified as an EBP by 92%, of the respondents and was one of a few practices that shared the same reported use rate as belief in its evidence base. The lack identified EBP targeting academic skills for students with ASD at this time means that educators must rely on EBP aimed at the general population.
Discrete trial teaching (DTT) was also identified by Stahmer et al. (2005) as an established EBP among educators in the IE (Stahmer et al., 2005). Consistent with
Stahmer’s et al. (2005) study, an overwhelming 92% of respondents identified it as an
EBP. Barnhill et al. (2011) had identified it as a source of training in many preservice programs and Alexander et al. (2015) had even used it as a category for their effectiveness evaluation tool, all of which may have contributed to respondents’ beliefs in its EBP status.
Multiple domains. Practices under multiple domains are most important as they can address more or all of student need areas. By improving communication and social skills at the same time, an EBP can utilize the finite amount of instruction time to achieve greater benefits (Travers, 2017).
All respondents indicated they used modeling as an EBP. Modeling is as a feature of many practices, such as peer mediated instruction (Odom & Strain, 1984).
Merriam and Bierema (2014) also highlight modeling as an important practice for educator instructing students. Modeling was also cited by educators, as an important
135
feature in their understanding of EBP. As one respondent declared, "information provided in conjunction with hands on experience, modeling or video examples,” as well as coaching improves their practice, so naturally educators would also use modeling in their classroom.
Naturalistic intervention had 100% reported use among special educators in this study. The fact that naturalistic intervention emphasizes natural rather than controlled environments, including real world scenarios, may contribute to its appeal and high reported use, in spite of natural setting practices usually being more difficult to implement (Stahmer et al., 2015; Strauss et al., 2014; Suhrheinrich et al., 2012).
Another practice utilized by 100% of the respondents was prompting. Prompting is a skill used in several practices, including ABI and time delay, and is featured in many of the trainings for educators (Browder et al., 2009; De Bruin et al., 2013; Lerman et al.,
2004). Prompting was also mentioned by respondents in this survey as a feature of training in their explanations of sources of EBP for students with ASD. The high reported use of modeling, naturalistic interventions, and prompting is likely motivated by the fact these practices support multiple areas of need including communication, behavior, social and academic skills (Knight & Sartini, 2015; NPDC, 2016; Spector, 2011).
Task analysis emphasizes task completion and was reportedly used by 92% of the respondents (Parker & Kamps, 2011). Task analysis is most likely a desirable EBP because it is designed to help students complete tasks. Additionally, task analysis features prompts, another highly utilized EBP, that may make the practice relatively easy to implement (Parker & Kamps, 2011).
136
Almost all respondents, 92%, reportedly used time delay, a feature of prompting
(Browder et al., 2009). Time delay features naturalistic components that educators in this study and authors promote as beneficial for interventions (Liber, et al., 2008). Its similarity to prompting possibly contributed to the high use of time delay by special educators.
Visual supports appear also had a high 92% reported use rate. The fact visual supports address communication, behavior, social skills, and academic skills possibly contributed to its appeal. Visual supports are considered EBP for elementary ages in multiple domains. However, for upper grade students, visual supports are only considered an EBP for social skills. This study found educators working with adults with ASD also appeared to use visual supports to support social skills.
Functional communication training (FCT) is designed to improve communication
skills (Carr & Durand, 1985). While it was reportedly utilized by a 75% of the
respondents as a practice to improve communication, it may have been used in an attempt
to improve behaviors.
Although exercise, was reportedly used by 92% of respondents, only a few
believed it to be an EBP. A high percentage of respondents (50%) either were unsure or
believed it was not an EBP for students with ASD. This finding is consistent with Hess
et. al.’s (2008) study that found many teachers use practices not identified as EBP.
Computer aided instruction and speech generating devices were combined on the
NPDC (n.d.) and were also combined into one survey item for this study. This
combination of practices possibly confused respondents on the evidence-base status of
the practices. While many, 75%, reportedly used and 75% believed both were an EBP,
137
many also selected the item was not an EBP. The variation of responses may be due to
some believing computer aided instruction was an EBP, but not speech generating
devices or vice-versa
Parent-implemented interventions were reportedly used by 75% of respondents.
This practice had a high rate of use by respondents who did not identify parents as a
source of information on EBP for students with ASD. This finding returns us to the
framework discussed in Chapter 2 that suggests that collaboration within an IEP team
improves EBP implementation. Since respondents did not view parents as a source for
EBP for students with ASD, it is reasonable that they did not consider a practice that
required parents and EBP. Able, et al. (2014) acknowledged the collaborative home to
school feature of parent implemented interventions may make this practice appealing to
educators.
Scripting fell slightly below the study’s reported use threshold at 67%. The matrix offered by NPDC (2016b) indicates scripting can be used for communication and social deficits, which are the core features of an autism diagnosis (APA, 2013a). Yet scripting was not reported to be believed as an EBP for students with ASD. Scripting, therefore, may have had barriers that limited its use.
Video modeling (VM), while similar to modeling, was used to a lesser degree than live modeling. Goldsmith and LeBlanc (2004) and Ennis-Cole (2015) identified technology as one of the most easily accessible practices for educators, yet it was reportedly used by only 58% of the special educators. Live modeling was reported to be utilized by all the participants, yet there was a low use of VM; this lack of use of VM may be attributed to the technology component. Ennis-Cole (2015) offers many benefits
138
of VM over live modeling such as consistency, repetition, and control over the setting, yet despite these benefits respondents did not report using VM. Courduff, Szapkiw, and
Wendt (2016) presented four barriers to technology implementation for special educators:
(a) opportunities, (b) dispositions, (c) pedagogy, and (c) small steps with the last referring to gradual experiments in technology. Courduff et al. (2016) in their study supported that educators’ skills and knowledge of technology, as well as underlying beliefs about technology, are essential for special educators to effectively implement technology.
Ennis-Cole (2015) states that planning and technology assistance are necessary to implement technology effectively. The process of integration will only improve with gradual small steps over time (Courduff et al., 2016; Kopcha, 2012).
Discussion
This study drew from the research of Hess et al. (2008), Morrier et al. (2010) and
Stahmer et al. (2005) to identify opinions of a sample of special educators regarding their knowledge of EBP for students with ASD, as well as their use of EBP for students with
ASD. The findings were consistent with previous studies of EBP for students with ASD, but with some differences. While previous studies such as Stahmer et al. (2005) and
Hess et al. (2008) indicated low reported use of EBP for students with ASD, ranging on average between 5%-30%, this study found 22 out of 27 or 81% of the EBP for students with ASD were reportedly used by 70% or more of the respondents (Morrier et al., 2011).
This increase in use is likely due to attempts to improve EBP for students with ASD through a grant that provided educators and parents with training through the NPDC and other outreach programs such as CAPTAIN. This study also found that 11 of the 27 or
40% of the practices were properly identified as EBP by at least 70% of the respondents.
139
The use of specific practices by this sample of special education teachers in the IE was consistent with Stahmer et al’s. (2005) findings about practitioners’ use of EBP for students with ASD. PECS remains a widely utilized EBP, with over 70% reported use, as well as applied behavior analysis (ABA or ABI), discrete trial training, and social stories.
Other external factors appear to affect the selection of practices. As noted by Stahmer et al. (2005), “It appears that program marketing, availability of training, provider preference, and external factors such as parent requests influence the use of specific practices more than whether the practice has any evidence of efficacy” (p. 74).
Respondents in this study reported they used more practices than they believed were
EBP. For instance, exercise and social skills training were reportedly used even though most respondents realized they were not EBP for students with ASD. Unlike the findings presented by Stahmer et al. (2005), participants in this study did not see parents as a source of EBP information, nor did they report consulting journals or scientific papers as a credible source of information. The time needed to consult journal articles may present a barrier to special educators, but the need for continued training was shared by respondents in this study and Stahmer et al.’s (2005) study. The most reported implemented practices at 100% were: naturalistic interventions, differential reinforcement (reinforcement), extinction, modeling, prompting, functional behavior assessments, and antecedent based interventions. The least implemented EBP for students with ASD were: PRT, cognitive behavior intervention, scripting, video modeling and self-management. Two nonEBP, sensory support (integration) and a gluten free diet, mentioned as used by one of the respondents.
140
Consistent with Hess et al.’s (2008) study, the top reported EBP used by special educators in Georgia and California were: social narratives and computer aided instruction and speech generating devices (assistive technology). While nonEBP were not explored as in depth as they were in Hess et al.’s (2008) study, the mention of sensory integration as a utilized practice indicates educators continue to utilize nonEBP though research suggest the discontinuance of their use (LaFrance et al., 2015; Lang al., 2012;
Lucker, 1999; Reichow et al., 2010; Rossignol, 2009; Stephenson & Carter, 2009).
Differences occurring between this study and that of Hess et al.’s (2008) study may be due to time, as new practices have been identified as EBP. At the time of the Georgia study, social narratives, cognitive behavioral, computer aided instruction and speech generating devices (assistive technology) were not considered EBP, but were recently identified as EBP for students with ASD (NPDC, 2016). From this dissertation’s inquiry, the top practices utilized were prompting, modeling, naturalistic interventions, extinction, functional behavioral assessment, antecedent based interventions, and differential reinforcement (reinforcement).
Overall, this study suggests increased use of EBP and highlights the continued need to support both new and veteran teachers in implementing EBP. Although reported
EBP use has increased from the 28% seen in Hess et al.’s (2008) study, video modeling
(VM) and self-management results in this study were close to the previous use with 50% reported use for both practices. The novice educators in this study acknowledged preservice programs as sources for their knowledge in EBP for students with ASD, but for those currently in the classroom, hands-on trainings with specialists appear to be most helpful sources of knowledge. The belief of practices as an EBP was inconsistent with
141
Stahmer’s et al.’s (2005) study; whereas Stahmer’s et al.’s (2005) participants believed the practices that were reported as being utilized were also reported as being EBP. This study featured the belief of practices as being less than the use of a practice for all, but one practice, PRT.
Implications
The results from this study provide implications for federal and state policy, as well as for districts and special educators to support the use of EBP for students with
ASD and help close the policy to practice gap.
State and Federal Policy
Policies including ESSA (2015), NCLB (2002) and the Sciences and Education
Reform Act (2002) require the use of EBP for all students. As indicated by teacher responses from this survey, it remains difficult for educators with all the available information to determine true EBP (DiPietro et al., 2013). Organizations such as
CAPTAIN (n.d.) and the NPDC (2016) have attempted to fill this need. yet many educators may be unaware of such organizations. Already established organizations, such as the What Works Clearinghouse (WWC; n.d.a) and the NPDC (n.d.a.), should be endorsed through state and federal policy as sources to educate the public and dispel confusion on what practices are considered EBP for students with ASD.
At this time, several researchers and organizations (i.e., Best Evidence
Encyclopedia, n.d.; NPDC, 2016; Reichow et al. 2008; WWC, 2014) provide varying criteria and tools for identifying EBP. A central state or federal agency or organization should standardize the criteria used to evaluate both quasi-experimental and single- subject design studies as suggested by Bruin al. (2013). The WWC (2014) has set forth
142
preliminary standards for single subject designs which are most appropriate for research
on special populations, such as students with ASD (Odom Collect-Klingenberg et al.,
2010). As an already establish source of EBP information, the WWC (n.d.a) has the influence and reach to disseminate criteria for identifying EBP effectively. The WWC
(n.d.a.) may identify and refine pre-existing instruments, such as those developed by the
NPDC (n.d.a), and Reichow et al. (2008) and develop new instruments to assist researchers and practitioners with contributing evidence to EBP and nonEBP.
Standardizing and endorsing the work of the WWC (n.d.a) warrants consideration, and a special branch of the WWC (n.d.a.) could be created to oversee the identification of EBP specific to students with ASD.
Policy should set standards for the evaluation of practices as well. Several models
exist for evaluating criteria of reliability and validity, such as that developed by Best
Evidence Encyclopedia (n.d.), Reichow et al. (2008), Odom, Collet-Klingenberg et al.
(2010), and the NPDC (2016). While they offer similar resources and checklists to
evaluate practices, even among these organizations, differences in identifying EBP occur.
Using an established source, such as the NPDC (n.d.), or WWC (n.d.) for the specific
purpose of evaluating research to determine which practices are EBP is warranted.
Standardizing the amount of research needed, such as three experimental or quasi
experimental studies, and the type of research needed, for example five single case
studies with at least 20 participants, would help regulate what practices are identified as
EBP for students with ASD.
As well, official endorsement of a single organization to determine EBP,
disseminate which practices are EBP and identify appropriate training to use EBP
143
successfully, is needed. The NPDC (n.d.) has begun this process by providing a matrix for educators use as well as provide trainings for districts and educators interested in EBP for students with ASD, yet other organizations exist that attempt to identify EBP (NPDC,
2016). By declaring an official source of information such as the NPDC (n.d.), for declaring which practices are EBP for students with ASD, the guess work will be taken out of identifying EBP. This official source of information would allow teachers to focus their attention on how best to implement these programs successfully in their classrooms, rather than researching best practices to use with their students.
Another factor that may increase EBP use is the continued review of EBP knowledge in preservice credential programs. Barnhill et al.’s (2011) found only about
50% of their respondents’ institutions of higher education (IHE) offered coursework on
ASD. Travers (2017) believes, “Knowledge of EBPs is a fundamental aspect of special education preparation and professional development” (p. 196). Credential programs may want to include sources for EBP as part of course work in the ASD authorization.
Although, coursework specific to exceptional children, including those with ASD, is included with pre-service programs, a more detailed emphasis on EBP for students with
ASD may be necessary (Barnhill et al., 2011; CTC, 2012). Preservice programs were the third most identified source of EBP information for students with ASD by the study respondents and these programs provided the primary source from which the novice teachers drew their EBP knowledge.
For educators already servicing students, additional training options are necessary, especially since respondents conveyed trainings were their primary source of
EBP knowledge. The NPDC (n.d.) offers trainings and information regarding EBP.
144
Educators’ use of EBP by the NPDC (n.d.), or another designated local organization such as CAPTAIN (n.d.), may be promoted as a source for districts to inform educators and others on EBP. If a central organization oversees trainings in EBP, the organization also needs to assess the fidelity of use of each of the practices. Durlak and DuPre (2008),
Kam et al. (2003), and Durlak (2015) stated that not only the use of practices, but fidelity of practices led to implementation success. Further recommendations for district trainings are discussed next.
Districts
Professional development is necessary to change educators’ practices (Durlak &
DuPre, 2008; Hall & Hord, 2014; Odom, 2009; Reeves, 2009). The results of this study highlight the specific practices of one district in the Inland Empire and demonstrates how training in EBP for students with ASD may help close the policy to practice gap. The success of reported use may have been due to the two-year training the district received from the NPDC (n.d.). Prior research by Hess et al. (2008) and Stahmer et al. (2005) had low reported use of EBP, around 30% of respondents; whereas this study demonstrates much higher reported use, over 70% of respondents for the majority (22 out of 27) of
EBP. Although the study results may be applicable to other districts that have received training by the NPDC (n.d.), further research, with larger samples across multiple contexts, is needed to determine the generalizability of the findings. Regardless, some important discoveries were exposed in this research that suggest steps Lemon USD and other districts can take if they wish to increase implementation of EBP for students with
ASD.
145
First, the findings suggest Lemon USD and other school districts should provide educators with information regarding what practices are and are not EBP. In this study, exercise was reportedly used by many participants (92%), but only 50% of respondents believed it was an EBP. For the most part, belief about a practice did not appear to affect the reported use of the practice. Among the 27 EBP, 22 (81%) had more respondents report using the practice than report they believed the practice was an EBP, which included all of the practices with 100% reported use. These practices, presented in order from most reported use to least use, included: naturalistic intervention, differential reinforcement (reinforcement), extinction, modeling, prompting, antecedent based interventions, functional behavior assessment, time delay, visual supports, social skills training, exercise, response interruption (redirection), peer mediated interventions, social narratives, picture exchange communication systems (PECS), functional communication training, parent implemented interventions, structured play groups, cognitive behavior interventions, scripting, video modeling, and self-management. This Lemon USD and others can start by providing information to educators about the evidence base of these and other nonEBP, such as sensory integration and vitamin therapy, mentioned by one of the respondents.
Second, the findings suggest Lemon USD and other school districts should provide information about EBP through the primary reported source of information in this study, training. Durlak and DuPre (2008) as well as Lerman et al. (2004) offered that with training educators could learn skills for EBP in a few hours. Both veteran and novice educators in this study identified trainings as their most reported source for EBP information for students with ASD. Districts wanting to increase their educators’ use of
146
EBP may look to established sources such as the NPDC (2016) and CAPTAIN (n.d.) to provide education and training. Odom’s et al. (2013) study, demonstrated educators could achieve fidelity of implementation in two years by providing technical assistance. This technical assistance entails not only supporting practices, but “maintaining educators’ motivation and maintaining providers’ motivation and commitment, (to) improve their skills levels where needed, and support local problem-solving efforts” (Durlak & DuPre,
2008, p. 339). This technical assistance can include modeling, role playing, collaboration, shared decision making, and performance feedback to improve the execution of a practice
(Durlak & DuPre, 2008; Stahmer et al., 2015). Stahmer et al. (2015) included video modeling as part of the training in successful implementation. The collaboration piece was also emphasized in the framework, presented in Chapter 2, as a possibly effective tool to inform the decision-making process of educators for EBP for students with ASD
(Deluca, et. al., 2017; Eccelston, 2010; Lentz, 2012; Sansosti & Sansosti, 2012; Stahmer
& Ingersoll, 2004). The use of Odom’s et al. (2013) or Stahmer’s et al. (2015) model may benefit districts with a desire to improve EBP for students with ASD.
Third, the findings suggest Lemon USD and other school districts should include coaches to provide individualized support for EBP use. Coaching was highlighted by respondents in this study as assistance by “experienced practitioner(s).” Odom’s et al.
(2013) demonstrated gains with coaches for implementation support. Moreover,
Suhrheinrich et al. (2013), Suhrheinrich (201l), and Stahmer et al. (2015) found fidelity of implementation increased when educators were provided with coaches. Districts should consider the emotional support provided by coaches that can assist in maintaining and changing implementation practices (Durlak & DuPre, 2008). As Suhrheinrich (2011)
147
demonstrated, adding a coach to trainings improved EBP implementation by a group of respondents from 30% following one coaching session to 40% following two coaching sessions. Improvement of only 15% were made with only workshop trainings
(Suhrheinrich et al., 2013). One respondent stated he wanted “individual training(s) for individual needs” which is consistent with the literature suggesting coaching may increase the success of any district implementation plan (Durlak & DuPre, 2008; Lerman et al., 2004; Odom’s et al., 2013; Suhrheinrich et al.,2013; Suhrheinrich, 201l; Stahmer et al., 2015). This continued support may be fundamental in maintaining the use of EBP as supports may enhance the self-efficacy of educators and their willingness to persist at using EBP despite implementation challenges (Donnell & Gettinger, 2015; Durlak &
DuPre, 2008; Odom, 2009; Odom, 2013).
Educators
Educators are instrumental to making change and closing the research to practice and policy to practice gap (Lilienfeld et al., 2015). The findings of this study suggest educators are likely utilizing many practices with limited belief about their evidence- base. Educators must decide what, when, why, and how to use practices to benefit students (Durlak & DuPre, 2008; Frederickson & Cline, 2009).
Principals and other administrators are key to successful implementation of programs (Kam et al., 2003). But supports from principals alone are not sufficient to successfully implement programs. Other factors, such as sufficient resources, and ongoing collaboration among parents, teachers, other staff and the community can contribute to successful implementation. Durlak and DuPre (2008) add technical assistance is also needed to enhance implementation success.
148
Teachers must also learn about and decide to use EBP (Travers, 2017).
Respondents in this study did not believe practices many of the practices they reported using (81%, 22 out of 27 EBP) were EBP for students with ASD. Educators in this study mentioned they learned about EPA through trainings, pre-service programs, and online resources. Professional development can be provided through the district through local organizations similar to CAPTAIN (n.d.). If left on their own, educators need to know where they can ascertain credible information about EBP. While deciding what practices to use to support students with ASD as identified in this author’s framework, educators and the IEP teams need to consider the individual needs of the student and select practices that are likely to provide positive outcomes, or as one respondent stated,
“practices that result in measurable evidence of effectiveness” to provide for a legally defensible IEP (Carson, 2015; Crockett, 2014; Knight et al., 2015; Stahmer et al., 2005;
Travers, 2017; Yell et al., 2003). While all practices will not work for all students, EBP for student with ASD increase the likelihood of success (WWC, 2014). Educators may also assist by collecting data on the practices they use or volunteering to participate in studies that seek to clarify and add the EBP knowledge-base.
Besides understanding specific EBP, Travers (2017) believes educators need to develop skills so they can evaluate and distinguish questionable research and interventions. As conveyed by the findings of this study, educators reportedly use practices despite the fact they do not believe or are unsure about their EBP status, possibly, because they are more interested in the outcomes of using the practice. The change process is also problematic because it “expects that teachers challenge and reconstruct deeply embedded practices and beliefs” (Vetter, 2012, p. 27). Educators must
149
be aware that outcomes, although not guaranteed by the use of EBP, are more likely with their use (Cook & Cook, 2013; Lubas, et al., 2016). Travers (2017) continues:
by developing an understanding of how errors in thinking are used to promote and
defend unproven interventions, special educators and related professionals can
better adhere to an evidence-based approach, while protecting their students with
disabilities from potential harms associated with ineffective practices. (p. 202)
Limitations and Recommendations for Further Research
Despite efforts for sound research design, this study has several limitations. One limitation of this study was the fact a survey was used to gather information about special educators’ reported use of EBP for students with ASD. In order to validate the findings, further research needs to observe teachers’ classroom practices (Durlak and DuPre,
2008). Another limitation of the study was the survey instrument itself. Although the survey was modeled after Morrier’s et al. (2006) valid instrument, it did not undergo the same level of rigorous analyses. This instrument was reviewed for clarity and validity by the dissertation committee, but future researchers should explore the validity of this and other such survey instruments. A third limitation of the study was the low response rate due to the timing of the survey. The survey was distributed during the last two weeks of the 2016-2017 school year and the first two weeks of the 2017-2018. Despite the researcher’s requests and gentle reminders to complete the survey, the teachers’ willingness to participate was likely impacted by the added assignments and responsibilities associated with the close and start of the school years. Future researchers should try to administer surveys at times when teachers’ workloads are diminished.
150
The demographic features of the sample and selected district also limit the generalizability of the findings. Due to the limited sample size and fact the results reflect a district that had received extensive EBP training, the results of the study are not likely to generalize to special educators in the Inland Empire and beyond. The majority of survey respondents had over 20 years of education experience. Though a few survey responses, 4 (31%), were generated from novice teachers, with under three years of experience, and 54% of the respondents had over 20 years of teaching experience. One of the novice teachers indicated they had served as an assistant for over 30 years. Only one participant indicated she taught between 4-15 years. Thus, the results of the survey are most likely to reflect and apply to more experienced teachers with over 20 years’ experience. A much larger sample of participants from varying backgrounds and districts is needed.
Further research is needed to garner information about specific EBP and nonEBP.
Researcher into the quality, or fidelity of implementation and clarification over what conditions or characteristics of the students’ practices are more successful, may help educators selected which EBP for students with ASD would meet their students’ needs.
The primary question that remains is: why are some practices utilized while others are not? For example, the practice of modeling was highly utilized, yet a similar EBP video modeling (VM) had the second lowest use. The diffusion process offered by
Dingerfelder and Mandell (2011) may as well explain while certain practices become utilized while others remain unused. While other researchers have illuminated barriers to implementation in general, such as time (Courduff et al., 2016) and resources (Lubas et al., 2016; Suhrheinrich et al., 2013), it is important to understand the particular barriers to
151
the use and fidelity of specific EBP. Practices such as exercise that had a high use, but not belief as an EBP, may offer other benefits, such as eliminating hyperactivity that may make them desirable practices for educators to utilize with students, with and without
ASD. While observation data take more time to gather, they are more reliable then self- reported data (Durlak & DuPre, 2008). Thus, future researchers should gather observation data to ascertain use and fidelity of EBP for students with ASD. Future researchers should also consider using semi-structured interviews to gain more understanding and clarification of respondents’ knowledge of EBP and sources of information regarding EBP for students with ASD. For example, a respondent in this study identified the speaker Grandin Templeton as their most useful source of training, but it was unclear how the speaker assisted the respondent.
Additionally, contributions of this study were made to the literature. The first included the use of four domains versus the six or more utilized by other authors, including a category for multiple domains for practices that may be used to address more than one domain area (Alexander et al. 2015; NPDC, 2016b). Secondly, categorization of the 27 EBP of the NPDC (2016b) into these domains. These categories may be utilized by educators as well as researchers into EBP for students with ASD investigations.
Final Thoughts
While improvements have been demonstrated in the use of EBP, there is still room for growth in the implementation and knowledge of special educators in the use of these practices. Educators continue to utilize practices regardless of their beliefs about the evidence base of the practices. Many reported using practices when they stated they were not an EBP or when were unsure if a practice was an EBP. Laws generated to
152
improve the use of EBP have not had the desired effect, and more needs to be done to close the research to practice gap and assure that students with ASD are being educated using the best available techniques.
153
REFERENCES
Aarons, G. A. (2005). Measuring provider attitudes towards evidence-based practice:
Consideration of organizational context and individual differences. Child and
Adolescent Psychiatric Clinics of North America, 14(2), 255-271.
http://dx.doi.org/10.1016/j.chc.2004.04.008
Able, H., Sreckovic, M. A., Schultz, T. R., Garwood, J. D., & Sherman, J. (2014). Views
from the trenches: Teacher and student supports needed for full inclusion of
students with asd. Teacher Education and Special Education, 38(1), 44-57.
http://dx.doi.org/10.1177/0888406414558096
Ahearn, W. H., Clark, K. M., MacDonald, R. P., & Chung, B. I. (2007). Assessing and
treating vocal stereotypy in children with autism. Journal of Applied Behavior
Analysis, 40(2), 263-275. http://dx.doi.org/10.1901/jaba.2007.30-06
Ahrens, E. N., Lerman, D. C., Kodak, T., Worsdell, A. S., & Keegan, C. (2001). Further
evaluation of response interruption and redirection as treatment for stereotypy.
Journal of Applied Behavior Analysis, 44(1), 95-108.
http://dx.doi.org/10.1901/jaba.2011.44-95
Alexander, J., Ayres, K., & Smith, K. (2015). Training teachers in evidence-based
practice for individuals with autism spectrum disorder. A review of the literature.
Teacher Education and Special Education. 38 (1), 13-27.
http://dx.doi.org/10.1177/0888406414544551
American Psychiatric Association. (1980). Diagnostic and statistical manual of mental
disorders (3rd ed.). Arlington, VA: American Psychiatric Publishing.
154
American Psychiatric Association. (1987). Diagnostic and statistical manual of mental
disorders (3rd ed., revised). Arlington, VA: American Psychiatric Publishing.
American Psychiatric Association. (1994). Diagnostic and statistical manual of mental
disorders (4th ed.). Arlington, VA: American Psychiatric Publishing.
American Psychiatric Association. (2000). Diagnostic and statistical manual of mental
disorders (4th ed. text rev.). Arlington, VA: American Psychiatric Publishing.
American Psychiatric Association. (2013a). Autism spectrum disorder. Retrieved from
http://www.dsm5.org/Documents/Autism%20Spectrum%20Disorder%20Fact%20
Sheet.pdf
American Psychiatric Association. (2013b). Diagnostic and statistical manual of mental
disorders (5th ed.). Arlington, VA: American Psychiatric Publishing.
American Psychiatric Association. (2014). Autism spectrum disorder fact sheet.
Retrieved from American Psychiatric Association DSM-5 Development:
www.dsm5.org
American Speech-Language-Hearing Association Leader. (2014). Update adds to
evidence-based asd interventions. ASHA Leader, 19(3), 14. Retrieved from
www.ebcohost.com
Aron, L., & Loprest, P. (2012). Disability and the education system. The Future of
Children, 22(1), 97-122. Retrieved from http://muse.jhu.edu/article/478958
Asberg, J., Kopp, S., Berg-Kelly, K., & Gillberg, C. (2010). Reading comprehension,
word decoding and spelling in girls with autism spectrum disorders (asd) or
attention-deficit/hyperactivity disorder (ad/hd): Performance and predictors.
155
International Journal of Language & Communication Disorders, 45(1), 61-71.
http://dx.doi.org/10.3109/13682820902745438
Auert, E., Trembath, D., Arciuli, J., & Thomas, D. (2012). Parents' expectations,
awareness, and experiences of accessing evidence-based speech-language
pathology services for their children with autism. International Journal of
Speech-Language Pathology, 14(2), 109-118.
http://dx.doi.org/10.3109/17549507.2011.652673
Autism Internet Modules. (n.d.). Retrieved from http://www.autisminternetmodules.org/
Autism Society. (2017). About us. Retrieved from http://www.ieautism.org/about/
Axelrod, M. I., Bellini, S., & Markoff, K. (2014). Video self-modeling. Behavior
Modification, 38(4), 567-586. http://dx.doi.org/10.1177/0145445514521232
Ayres, A. J. (2005). Sensory integration and the child: Understanding hidden sensory
challenges (25th Anniversary Edition ed.). Los Angeles, CA: Western
Psychological Services.
Baio, J. (2014). Prevalence of autism spectrum disorders among children aged 8 years-
Autism and developmental disabilities monitoring network, 11 sites, United
States. Retrieved from Center for Disease Control and Prevention (CDC):
www.cdc.gov/ncbddd/autism/data.html
Barnhill, G. P., Polloway, E. A., & Sumutka, B. M. (2011). A survey of personnel
preparation practices in autism spectrum disorders. Focus on Autism and Other
Developmental Disabilities, 26(2), 75-86.
http://dx.doi.org/10.1177/1088357610378292
156
Baron-Cohen, S., Leslie, A. M., & Frith, U. (1986). Mechanical, behavioral and
Intentional understanding of picture stories in autistic children. British Journal of
Developmental Psychology, 4(2), 113-125. Retrieved from www.ebcohost.com
Baron-Cohen, S., Wheelwright, S., Hill, J., Raste, Y., & Plumb, I. (2001). The "reading
the mind in the eyes" test revised version: A study with normal adults and adults
with Asperger syndrome or high-functioning autism. Journal of Child Psychology
and Psychiatry, 42, 241-251. http://dx.doi.org/10.1111/1469-7610.00715
Baron-Cohen, S., Wheelwright, S., Skinner, R., Martin, J., & Clubley, E. (2001). The
Autism-Spectrum Quotient (AQ): Evidence from Asperger Syndrome/High-
functioning Autism, males and females, scientist and mathematicians. Journal of
Autism and Developmental Disorders, 31(1), 5-17. Retrieved from
http://docs.autismresearchcentre.com/papers/2001_BCetal_AQ.pdf
Best Evidence Encyclopedia. (n.d.). About the best evidence encyclopedia. Retrieved
from http://www.bestevidence.org/aboutbee.htm
Bettelheim, B. (1967). The empty fortress: Infantile autism and the birth of the self. New
York, NY: Free Press.
Billingsley, B. S. (2004). Special education teacher retention and attrition: A critical
analysis of the research literature. Journal of Special Education, 38(1), 39-55.
Retrieved from
http://web.a.ebscohost.com.proxy.library.cpp.edu/ehost/pdfviewer/pdfviewer?sid
=5791491d-3768-4ca5-88c6-
687d17153db9%40sessionmgr4010&vid=3&hid=4212
157
Borchardt, D. (2015, June 10). Desperate parents of autistic children trying cannabis
despite lack of studies. Forbes. Retrieved from www.forbes.com
Bowker, A., D'Angelo, N. M., Hicks, R., & Wells, K. (2011). Treatments for autism:
Parental choices and perceptions of change. Journal of Autism and Developmental
Disorders, 41(10), 1373-1382. http://dx.doi.org/10.1007/s10803-010-1164-y
Breslin, C., & Rudisill, M. (2011). The effect of visual supports on performance of the
tgmd-2 for children with autism spectrum disorder. Adapted Physical Activity
Quarterly: APAQ, 28(4), 342-253. https://doi.org/10.1123/apaq.28.4.342
Briggs, D. (2008). Comments on Slavin: Synthesizing causal inferences. Educational
Researcher, 37(1), 15-22. http://dx.doi.org/10.3102/0013189X08314286
Brock, J. (2014, January 30). The evolution of autism: Comparing DSM III and DSM-5
[Blog post]. Retrieved from http://crackingtheenigma.blogspot.com
Bonder, A., & Frost, L. (2001). The picture exchange communication system. Behavior
Modification, 25(5), 725-744. http://dx.doi.org/10.1177/0145445501255004
Bondy, A. S., & Frost, L. (n.d.). What is PECS? Picture exchange communication
system. Retrieved from http://www.pecsusa.com/pecs.php
Boyd, B., McDonough, S., & Bodfish, J. (2012). Evidence-based behavioral interventions
for repetitive behaviors in autism. Journal of Autism and Developmental
Disorders, 42(6), 1236-1248. http://dx.doi.org/10.1007/s10803-011-1284-z
Brown, A. B., & Elder, J. H. (2014). Communication in autism spectrum disorder: A
guide for pediatric nurses. Pediatric Nursing, 40(5), 219-225. Retrieved from
www.ebscohost.com
158
Brown, J. L., Krantz, P. J., Mcclannahan, L. E., & Poulson, C. (2008). Using script fading
to promote natural environment stimulus control of verbal interactions among
youths with autism. Research in Autism Spectrum Disorders, 2(3), 480-497.
http://dx.doi.org/10.1016/j.rasd.2007.08.006
Brown v. Board of Education, 347 U.S. 483 (1954).
Brownell, M., Sindelar, P., Kiely, M., & Danielson, L. (2010). Special education teacher
quality and preparation: Exposing foundations, constructing a new model.
Exceptional Children, 76(3), 357-377.
Bruhn, A., Gorsh, J., Hannan, C., & Hirsch, S. E. (2014). Simple strategies for reflecting
on and responding to common criticisms of PBIS. Journal of Special Education
Leadership, 27(1), 13-25. Retrieved from https://www.ebsco.com
Burke, M. M., & Goldman, S. E. (2015). Identifying the associated factors of mediation
and due process in families of students with autism spectrum disorder. Journal of
Autism and Developmental Disorders, 45(5), 1345-1353.
http://dx.doi.org/10.1007/s10803-014-2294-4
Burkett, K., Morris, E., Manning-Courtney, P., Anthony, J., & Shambley-Ebron, D.
(2015). African American families on autism and treatment: The influence of
culture. Journal of Autism and Developmental Disorders, 45(10), 3244-3254.
Burton, C. E., Anderson, D. H., Prater, M. A., & Dyches, T. T. (2013). Video self-
modeling on an ipad to teach functional math skills to adolescents with autism
and intellectual disability. Focus on Autism and Other Developmental
Disabilities, 28(2), 67-77. http://dx.doi.org/10.1177/1088357613478829
159
California Autism Professional Training and Information Network. (n.d). Welcome.
Retrieved from http://www.captain.ca.gov/index.html
California Commission on Teacher Credentialing. (2010). Authorization statements for
intern, preliminary and clear education specialist teaching credentials (Programs
under new standards effective 06/27/2010). Retrieved from
https://www.ctc.ca.gov/docs/default-source/credentials/creds/special-ed-
authorizations.pdf?sfvrsn=755cd79a_0
California Commission on Teacher Credentialing. (2012). Documents eligible to earn
added authorizations in special education (AASE)- Updated 6/2012. Retrieved
from https://www.ctc.ca.gov/docs/default-source/credentials/creds/special-ed-
added-auth-chart.pdf
California Commission on Teacher Credentialing. (2012). Education specialist instruction
credential: Requirements for teachers prepared in California for the preliminary
and clear credentials. Updated 10/2016. Retrieved from
https://www.ctc.ca.gov/docs/defaultsource/leaflets/cl808ca.pdf?sfvrsn=acab8f790
Callahan, K., Henson, R., & Cowan, A. (2008). Social validation of evidence-based
practices in autism by parents, teachers, and administrators. Journal of Autism and
Developmental Disorders, 38(4), 678-692.
Carr, E. G., & Durand, V. M. (1985). Reducing behavior problems through functional
communication training. Journal of Applied Behavior Analysis, 18(2), 111-126.
http://dx.doi.org/10.1901/jaba.1985.18-111
160
Carson, C. (2015). Rethinking special education's "least restrictive environment"
requirement. Michigan Law Review, 113, 1397--1426. Retrieved from
http://site.ebrary.com/lib/csupomona/detail.action?docID=10927278
Carter, E. W., Common, E. A., Sreckovic, M. A., Huber, H. B., Bottema-Beutel, K.,
Gustafson, J. R., ... Hume, K. (2014). Promoting social competence and peer
relationships for adolescents with autism spectrum disorders. Remedial and
Special Education, 35(2), 91-101. http://dx.doi.org/10.1177/0741932513514618
Catts, H. W., Adolf, S. M., & Weismer, S. E. (2006). Language deficits in poor
comprehenders: A case for the simple view of reading. Journal of Speech,
Language, and Hearing Research, 49(2), 278-293.
http://dx.doi.org/10.1044/1092-4388(2006/023)
Chambless, D. L., & Hollon, S. D. (1998). Defining empirically supported therapies.
Journal of Consulting and Clinical Psychology, 66, 7-18.
http://dx.doi.org/10.1037/0022-006X.66.1.7
Chan, J., & Nankervis, K. (2015). Stolen voices: Facilitated communication is an abuse
of human rights. Evidence-Based Communication Assessment and Intervention,
8(3), 151-156. http://dx.doi.org/10.1080/17489539.2014.1001549
Charlop, M. H., & Trashowech, J. E. (1991). Increasing autistic children's daily
spontaneous speech. Journal of Applied Behavior Analysis, 24(4), 747-761.
http://dx.doi.org/10.1901/jaba.1991.24-747
Charlop, M. H., & Walsh, M. E. (1986). Increasing autistic children's spontaneous
verbalizations of affection: an assessment of time delay and peer modeling
161
procedures. Journal of Applied Behavior Analysis, 19(3), 307-314.
http://dx.doi.org/10.1901/jaba.1986.19-307
Charlop, M., & Milstein, J. P. (1989). Teaching autistic children conversational speech
using video modeling. Journal of Applied Behavior Analysis, 22(3), 275-285.
http://dx.doi.org/10.1901/jaba.1989.22-275
Charlop-Christy, M. H., Carpenter, M., Le, L., LeBlanc, L. A., & Kellet, K. (2002).
Using the picture exchange communication system (pecs) with children with
autism: Assessment of pecs acquisition, speech, social-communicative behavior,
and problem behavior. Journal of Applied Behavior Analysis, 35(3), 213-231.
http://dx.doi.org/10.1901/jaba.2002.35-213
Charlop-Christy, M. H., Le, L. A., & Freeman, K. A. (2000). A comparison of video
modeling with in vivo modeling for teaching children with autism. Journal of
Autism and Developmental Disorders, 30(6), 537-552.
http://dx.doi.org/10.1023/A:1005635326276
Charman, T., Jones, C., Pickles, A., Simonoff, E., Baird, G., & Happé, F. (2011).
Defining the cognitive phenotype of autism. Brain Research, 1380, 10-21.
http://dx.doi.org/10.1016/j.brainres.2010.10.075
Chiovitti, R. F., & Piran, N. (2003). Methodological issues in nursing research: Rigour
and grounded theory research. Journal of Advanced Nursing, 44.
http://dx.doi.org/10.1046/j.0309-2402.2003.02822.x
Christon, L.M., Arnold, C.C. & Myers, B.J. (2015). Professionals' reported provision and
recommendation of psychosocial interventions for youth with autism spectrum
162
disorder. Behavior Therapy. 46 (1). 68-82.
http://dx.doi.org/10.1016/j.beth.2014.02.002
Colón, C. L., Ahearn, W., Clark, K., & Masalsky, J. (2012). The effects of verbal operant
training and response interruption and redirection on appropriate and
inappropriate vocalizations. Journal of Applied Behavior Analysis, 45(1), 107-
120. http://dx.doi.org/10.1901/jaba.2012.45-107
Commission on Teacher Credentialing. (2008). Induction program standards. Retrieved
from https://www.ctc.ca.gov/docs/default-source/educator-
prep/standards/induction-program-standards.pdf
Commission on Teacher Credentialing. (2016). Education specialist instruction
credential: Requirements for teachers prepared in California for the preliminary
and clear credentials. Retrieved from
http://www.ctc.ca.gov/credentials/leaflets/cl808ca.pdf
Commission on Teacher Credentialing. (2017). Education specialist teaching and other
related services credential program standards. Retrieved from
https://www.ctc.ca.gov/docs/default-source/educator-prep/standards/special-
education-standards-2014-pdf.pdf?sfvrsn=8e2ef6ac_6
Constantino, J. N. (2011). The quantitative nature of autism social impairment. Pediatric
Research, 69, 59-62. http://dx.doi.org/10.1203/PDR.0b013e318212ec6e
Cook, B. G., & Cook, S. C. (2013). Unraveling Evidence-Based Practices in Special
Education. The Journal of Special Education, 47, 71-82. http://dx.doi.org/DOI:
10.1177/0022466911420877
163
Cook, B. G., & Odom, S. L. (2013). Evidence-based practices and implementation
science in special education. Exceptional Children, 79(2), 135-144.
http://dx.doi.org/10.1177/001440291307900201
Cook, B., Tankersley, M., & Landrum, T. (2009). Determining evidence-based practices
in special education. Exceptional Children, 75(3), 365-383. Retrieved from
http://proxy.library.cpp.edu/login?url=http://search.ebscohost.com/login.aspx?dir
ect=true&AuthType=ip,uid&db=ehh&AN=36987029&site=ehost-
live&scope=site
Cook, B. G., Tankersley, M., & Landrum, T. J. (2013). Evidence-based practices in
learning and behavioral disabilities: The search for effective instruction. In B. G.
Cook, M. Tankersley, & T. J. Landrum (Eds.), Advances in learning and
behavioral disabilities: Evidence-based practices, pp. 1-19). [ProQuest E-
Library]. Retrieved from http://www.cpp.edu/~library/index.shtml
Cornelius Habarad, S. (2015). The power of the mand: Utilizing the mand repertoire to
decrease problem behavior. Behavioral Development Bulletin, 20(2), 158-162.
http://dx.doi.org/10.1037/h0101310
Corrales, M. A., & Hebert, M. (2011). Autism and environmental genomics: synergistic
systems approaches to autism complexity. In D. G. Amaral, G. Dawson, & G. H.
Geschwind (Eds.), Autism spectrum disorders (pp. 875-892). New York: Oxford
University Press.
Cortiella, C. (2010). No child left behind and students with disabilities: Opportunities and
obstacles. Great Kids!. Retrieved fromwww.greatschools.org
164
Courduff, J., Szapkiw, A., & Wendt, J. (2016). Grounded in what works. Journal of
Special Education Technology, 31(1), 26-38.
http://dx.doi.org/10.1177/0162643416633333
Creak, M. (1964). Schizophrenic syndrome in childhood: Further progress report of a
working party. Developmental Medicine & Child Neurology, 6(5), 530-535.
http://dx.doi.org/10.1111/j.1469-8749.1964.tb10828.x
Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating
quantitative and qualitative research. (4th ed. ed.). Boston, MA: Pearson.
Crisis Prevention Institute. (2017). About CPI. Retrieved from
https://www.crisisprevention.com/About-CPI
Crockett, J. (2014). Reflections on the concept of the least restrictive environment in
special education. In B. G. Cook, M. Tankersley, & T. J. Landrum (Eds.),
Advances in the Learning and Behavioral Disabilities: Special Education Past,
Present and Future: Perspectives in the Field, pp. 39-61). United Kingdom:
Emerald Group Publishing Limited.
Crosland, K., & Dunlap, G. (2012). Effective strategies for the inclusion of children with
autism in general education classrooms. Behavior Modification, 36(3), 251-269.
http://dx.doi.org/10.1177/0145445512442682
Dane, A. V., & Schneider, B. H. (1998). Program integrity in primary and early
secondary prevention: Are implementation effects out of control? Clinical
Psychology Review, 18(1), 23-45. http://dx.doi.org/10.1016/S0272-
7358(97)00043-3
165
Dawson, M. (2015, July 15). The miracle that cured my son's autism was in my kitchen.
New York Post. Retrieved from nypost.com
de Bruin, C. L., Deppeler, J. M., Moore, D. W., & Diamond, N. T. (2013). Public school-
based interventions for adolescents and young adults with autism spectrum
disorder: A meta-analysis. Review of Educational Research, 83(4), 521-550.
http://dx.doi.org/10.3102/0034654313498621
Dede, C. (2010). Comparing frameworks for 21st century skills. In J. Bellanca & R.
Brandt (Eds.), 21st century skills: Rethinking how students learn (pp. 51-75).
Bloomington, IN: Solution Tree Press.
Dillion, S. R., Adams, D., Goudy, L., Bittner, M., & McNamara, S. (2017). Evaluating
exercise as evidence-based practice for individuals with autism spectrum disorder.
Frontiers in Public Health. http://dx.doi.org/10.3389/fpubh.2016.00290
DiMartino, M. F. (2011, February 2). School districts dealing with rise in autism
numbers. Redlands Daily Facts News. Retrieved from
http://www.redlandsdailyfacts.com/
Dingfelder, H., & Mandell, D. (2011). Bridging the research-to-practice gap in autism
intervention: An application of diffusion of innovation theory. Journal of Autism
and Developmental Disorders, 41(5), 597-609. http://dx.doi.org/10.1007/s10803-
010-1081-0
DiPietro, N., Whiteley, L., Mizgalewicz, A., & Illes, J. (2013). Treatments for
neurodevelopmental disorders: Evidence, advocacy, and the internet. Advocacy,
43(1), 122-133. http://dx.doi.org/10.1007/s10803-012-1551-7
166
Donnell, L. A., & Gettinger, M. (2015). Elementary school teachers' acceptability of
school reform: Contribution of belief congruence, self-efficacy, and professional
development. Teaching and Teacher Education, 51, 47-57.
http://dx.doi.org/10.1016/j.tate.2015.06.003
Doody, K. (2015). Grappling with how to teach social skills? Try tapping into digital
technology. Journal of Special Education Technology, 30(2), 122-127.
http://dx.doi.org/10.1177/0162643415617376
DSM III and DSM III-R Diagnosis of Autism. (1988). The American Journal of
Psychiatry, 145(11), 1404-1408.
Dumont, H., Istance, D., & Benavides, F. (Eds.). (2010). The nature of learning: Using
research to inspire practice. Retrieved from
https://www.oecd.org/edu/ceri/50300814.pdf
Durand, V. M., & Moskowitz, L. (2015). Functional communication training: Thirty
years of treating challenging behavior. Topics in Early Childhood Special
Education, 35(2), 116-126. http://dx.doi.org/10.1177/0271121415569509d
Durkin, M. S., Elsabbagh, M., Barbaro, J., Gladstone, M., Happé, F., Hokestra, R. A., ...
Shih, A. (2015). Autism screening and diagnosis in low resource settings:
Challenges and opportunities to enhance research and services worldwide. Autism
Research, 8(5), 473-476. http://dx.doi.org/10.1002/aur.1575
Durksen, T., Klassen, R., & Daniels, L. M. (2017). Motivation and collaboration: The
keys to a developmental framework for teachers' professional learning. Teaching
and Teacher Education, 67, 53-66. http://dx.doi.org/10.1016/j.tate.2017.05.011
167
Durlak, J. A. (2015). Studying program implementation is not easy but it is essential.
Prevention Science, 16(8), 1123-1127. http://dx.doi.org/10.1007/s11121-015-
0606-3
Durlak, J. A., & DuPre, E. P. (2008). Implementation matters: A review of research on
the influence of implementation on program outcomes and the factors affecting
implementation. American Journal of Community Psychology, 41(3-4), 327-350.
http://dx.doi.org/10.1007/s10464-008-9165-0
Dyrbjerg, P., Vedel, M., & Pedersen, L. (2007). Everyday education: Visual support for
children with autism. [Proquest Library]. Retrieved from
http://site.ebrary.com/lib/csupomona/reader.action?docID=10182443
Eccleston, S. T. (2010). Successful collaboration: Four essential traits of effective special
education. Journal of the International Association of Special Education, 11(1),
40-47. Retrieved from
http://proxy.library.cpp.edu/login?url=http://search.ebscohost.com/login.aspx?dir
ect=true&AuthType=ip,uid&db=ehh&AN=52982654&site=ehost-
live&scope=site
Education of Mentally Retarded Children Act, H.R. Res. 13840, Cong., House of
Representatives 1777 (1958) (enacted).
Education Sciences Reform Act, H.R. Res. 3801, 107th Cong., House of Representatives
1-48 (2002) (enacted).
Ennis-Cole, D. E. (2015). Technology for learners with autism spectrum disorders.
[Google]. http://dx.doi.org/10.1007/978-3-319-05981-5 ?10.1007/978-3-319-
05981-5
168
Every Student Succeeds Act (ESSA), S. Res. 1177, 114th Cong., S (2015) (enacted).
Farrell, P. (2004). School psychologists: Making inclusion a reality for all. School
Psychology International, 25(1), 5-19.
http://dx.doi.org/10.1177/0143034304041500
Farrell, M. (2010). Debating special education. [GoogleBooks]. Retrieved from
https://play.google.com/store/books?hl=en
Feng, H., Lo, Y., Tsai, S., & Cartledge, G. (2008). The effects of theory-of-mind and
social skill training on the social competence of a sixth-grade student with autism
. Journal of Positive Behavior Interventions, 10(4), 228-242.
http://dx.doi.org/10.1177/1098300708319906
Ferraioli, S. J., & Harris, S. L. (2011). Effective educational inclusion of students on the
autism spectrum. Journal of Contemporary Psychotherapy, 41(1), 19-28.
http://dx.doi.org/10.1007/s10879-010-9156-y
Fettig, A. (2013). Social skills training (SST) fact sheet. Retrieved from
http://autismpdc.fpg.unc.edu/sites/autismpdc.fpg.unc.edu/files/Social_Skills_Trai
ning_factsheet.pdf
Fixsen, D. (n.d.). Our approach. Retrieved from http://nirn.fpg.unc.edu/about-nirn/our-
approach
Fixsen, D. L., Blase, K. A., Naoom, S. F., & Wallace, F. (2009). Core implementation
components. Research on Social Work Practice, 19(5), 531-540.
http://dx.doi.org/10.1177/1049731509335549
Fixsen, D. L., Naoom, S. F., Blase, K. A., Friedman, R. M., & Wallace, F. (2005).
Implementation research: A synthesis of the literature. Retrieved from
169
http://nirn.fpg.unc.edu/sites/nirn.fpg.unc.edu/files/resources/NIRN-
MonographFull-01-2005.pdf
Fleury, V. P., Hedges, S., Hume, K., Browder, D., Thompson, J. L., Zein, F. E., ...
Vaughn, S. (2014). Addressing the academic needs of adolescents with autism
spectrum disorder in secondary education. Remedial and Special Education,
35(2), 68-79. http://dx.doi.org/10.1177/0741932513518823
Flippin, M., Reszka, S., & Watson, R. L. (2010). Effectiveness of the picture exchange
communication system on communication and speech for children with autism
spectrum disorders: A meta-analysis. American Journal of Speech-Language
Pathology, 19(2), 178-195. http://dx.doi.org/10.1044/1058-0360(2010/09-0022)
Florian, L. (2012). Preparing teachers to work in inclusive classrooms: Key lessons for
the professional development of teacher educators from Scotland's inclusive
practice project. Journal of Teacher Education, 63(4), 275-285.
http://dx.doi.org/10.1177/0022487112447112
Forzani, F. M. (2014). Understanding "core practices" and "practice-based" teacher
education. Journal of Teacher Education, 65(4), 357-368.
http://dx.doi.org/10.1177/0022487114533800
Fountain, C., King, M., & Bearman, P. (2011). Age of diagnosis for autism: Individual
and community factors across 10 birth cohorts. Journal of Epidemiology and
Community Health, 65(6), 503-510. http://dx.doi.org/10.1136/jech.2009.104588
Frederickson, N., & Cline, T. (2009). Special educational needs, inclusion and diversity
(2nd ed.). Retrieved from
http://web.a.ebscohost.com.proxy.library.cpp.edu/ehost/pdfviewer/pdfviewer?sid
170
=365ae90c-e201-42e8-90eb-
00c5a1d2febf%40sessionmgr4006&vid=3&hid=4109
Ganz, J. B., Kaylor, M., Bourgeois, B., & Hadden, K. (2008). The impact of social scripts
and visual cues on verbal communication in three children with autism spectrum
disorders. Focus on Autism and Other Developmental Disabilities Developmental
Disabilities, 23(2), 79-94. http://dx.doi.org/10.1177/1088357607311447
Gaus, V. L. (2007). Cognitive-behavioral therapy for adult Asperger syndrome. New
York, NY: Guilford Press.
Gena, A., Couloura, S., & Kymissis, E. (2005). Modifying the affective behavior of
preschoolers with autism using in-vivo or video modeling and reinforcement
contingencies. Journal of Autism and Developmental Disorders, 35(5), 545-556.
http://dx.doi.org/10.1177/1362361302006001005
Gersten, R., Fuchs, L., Compton, D., Coyne, M., Greenwood, C., & Innocenti, M. S.
(2005). Quality indicators for group experimental and quasi-experimental
research in special education. Exceptional Children, 71(2), 149-164. Retrieved
from
http://proxy.library.cpp.edu/login?url=http://search.ebscohost.com/login.aspx?dir
ect=true&AuthType=ip,uid&db=ehh&AN=15457832&site=ehost-
live&scope=site
Giangreco, M. F., Sutter, J. C., & Hurley, S. M. (2013). Revisiting personnel utilization
in inclusion-oriented schools. The Journal of Special Education, 47(2), 121-132.
http://dx.doi.org/10.1177/0022466911419015
171
Glover, D., & Law, S. (1996). Managing professional development in education.
[ProQuest ebrary]. Retrieved from
http://site.ebrary.com/lib/csupomona/detail.action?docID=10094497
Goin-Kochel, R. P., Myers, B. J., & Macintosh, V. H. (2007). Parental reports on the use
of treatments and therapies for children with autism spectrum disorders. Research
in Autism Spectrum Disorders, 1(3), 195-209.
http://dx.doi.org/10.1016/j.rasd.2006.08.006
Gökcen, E., Petrides, K., Hudry, K., Frederickson, N., & Smillie, L. (2014). Sub-
threshold autism traits: The role of trait emotional intelligence and cognitive
flexibility. British Journal of Psychology, 105(2), 187-199.
Goldsmith, T. R., & LeBlanc, L. A. (2004). Use of technology in interventions for
children with autism. Journal of Early and Intensive Behavior Intervention, 1(2),
166-178. http://dx.doi.org/10.1037/h0100287
Goldstein, S., Naglieri, J., Rzepa, S., & Williams, K. (2013). A national study of autistic
symptoms in the general population of school-age children and those diagnosed
with autism spectrum disorders. Psychology in the Schools, 49(10), 1001-1016.
http://dx.doi.org/10.1002/pits.21650
Gongola, L., & Sweeny, J. (2012). Discrete trial teaching. Intervention in School and
Clinic, 47(3), 183-190. http://dx.doi.org/10.1177/1053451211423813
Goodman, G., & Williams, C. M. (2007). Interventions for increasing the academic
engagement of students with autism spectrum disorders in inclusive classroom.
Teaching Exceptional Children, 39(6), 53-61.
http://dx.doi.org/10.1177/004005990703900608
172
Gottlieb, D. A., & Begej, E. L. (2014). Principles of Pavlovian conditioning: Description,
content, function. In F. K. McSweeny & E. S. Murphy (Eds.), The wiley blackwell
handbook of operant and classical conditioning (1st ed., pp. 3-26). [ProQuest
ebrary]. Retrieved from www.proquest.com
Grandin, T. (2012). About Temple Grandin. Retrieved from
http://www.templegrandin.com
Gray, C. (2017). Social Stories. Retrieved from http://carolgraysocialstories.com/
Gray, K. M., Keating, C. M., Taffe, J. R., Brereton, A. V., Einfield, S. L., Reardon, T. C.,
& Tonge, B. J. (2014). Adult outcomes in autism: Community inclusion and
living skills. Journal of Autism and Developmental Disorders, 44(12), 3006-3015.
http://dx.doi.org/10.1007/s10803-014-2159-x
Gresham, F. M., Van, M. B., & Cook, C. R. (2006). Social skills training for teaching
replacement behaviors: Remediating acquisition deficits in at-risk students.
Behavioral Disorders, 31(4), 363-377.
http://dx.doi.org/10.1177/019874290603100402
Griffin, W. (2017). Functional communication training. Chapel Hill, NC: National
Professional Development Center on Autism Spectrum Disorder, FPG Child
Development Center, University of North Carolina. Retrieved
from http://afirm.fpg.unc.edu/functional-communication-training
Hall, R. V., & Hall, M. C. (1998). How to use planned ignoring (extinction) (2nd ed.).
Austin, TX: Pro-Ed.
Hall, G. E., & Hord, S. M. (2014). Implementing change: patterns, principles, and
potholes (4th ed.). Boston, MA: Pearson.
173
Hannay, L., & Earl, L. (2012). School district triggers for reconstructing professional
knowledge. Journal of Educational Change, 13, 311-326.
http://dx.doi.org/10.1007/s10833-012-9185-2
Hansen, H. F. (2014). Organisation of evidence-based knowledge production: Evidence
hierarchies and evidence typologies. Scandinavian Journal of Public Health,
14(13_suppl), 11-17. http://dx.doi.org/10.1177/1403494813516715
Hanson, E., Kalish, L. A., Bunce, E., Curtis, C., McDaniel, S., Ware, J., & Petry, J.
(2007). Use of complementary and alternative medicine among children
diagnosed with autism spectrum disorder. Journal of Autism and Developmental
Disorders, 37(4), 628-636. http://dx.doi.org/10.1007/s10803-006-0192-0
Hanson, M. E., Sideridis, G., Jackson, F. I., Porche, K., Campe, K. L., & Huntington, N.
(2016). Behavior and sensory interests questionnaire: Validation in a sample of
children with autism spectrum disorder and other developmental disability.
Research in Developmental Disabilities, 48, 160?175.
http://dx.doi.org/10.1016/j.ridd.2015.09.004
Haring, T. G., Kennedy, C. H., Adams, M. J., & Pitts-Conway, V. (1987). Teaching
generalization of purchasing skills across community settings to autistic youth
using videotape modeling. Journal of Applied Behavior Analysis, 20(1), 89-96.
http://dx.doi.org/10.1901/jaba.1987.20-89
Harjusola-Webb, S. M., & Robbins, S. H. (2012). The effects of teacher-implemented
naturalistic intervention on the communication of preschoolers with autism.
Topics in Early Childhood Special Education, 32(2), 99-110.
http://dx.doi.org/10.1177/0271121410397060
174
Hausman, N. L., Ingvaarsson, E. T., & Kahng, S. (2013). A comparison of reinforcement
schedules to increase independent responding in individuals with intellectual
disabilities. Journal of Applied Behavior Analysis, 155-159.
http://dx.doi.org/10.1002/jaba.85
Hayes, D. (2013). The use of prompting as an evidence-based strategy to support children
with asd in school settings in New Zealand. Kairaranga, 14(2), 52-56. Retrieved
from http://files.eric.ed.gov/fulltext/EJ1025644.pdf
Hayes, D. (2014). Inclusion and autism: General education teachers' perceptions
(Doctoral dissertation). Available from ProQuest Dissertation and Theses.
Heflin, L. J., & Alaimo, D. F. (2007). Students with autism spectrum disorders: Effective
instructional practices. Upper Saddle River, NJ: Pearson Education.
Hemelsoet, E. (2014). Positioning the educational researcher through reflections on an
autoethnographical account: On the edge of scientific research, political action
and personal engagement. Ethics and Education, 9(2), 220-233.
http://dx.doi.org/10.1080/17449642.2014.925033
Hess, K., Morrier, M., Heflin, L., & Ivey, M. (2008). Autism treatment survey: Services
received by children with autism spectrum disorders in public school classrooms.
Journal of Autism and Developmental Disorders, 38(5), 961-971.
http://dx.doi.org/10.1007/s10803-007-0470-5
Hiniker, A., Rosenberg-Lee, M., & Menon, V. (2016). Distinctive role of symbolic
number sense in mediating the mathematical abilities of children with autism.
Journal of Autism and Developmental Disorders, 46(4), 1286-1281.
http://dx.doi.org/10.1007/s10803-015-2666-4
175
Hodgetts, S., Magill-Evans, J., & Misiaszek, J. E. (2011). Weighted vests, stereotyped
behaviors and arousal in children with autism. Journal of Autism and
Developmental Disorders, 41(6), 805-814. http://dx.doi.org/10.1007/s10803-010-
1104-x
Hoekstra, R. A., Bartels, M., Cath, D. C., & Boomsma, D. J. (2008). Factor structure
reliability and creation validity of the Autism-Spectrum Quotient (AQ): A study
in Dutch population and patent group. Journal of Autism and Developmental
Disorders, 38, 1555-1556. http://dx.doi.org/10.1007/s10803-008-0538-x
Hoffman, K., & Falcomata, T. (2014). An evaluation of resurgence of appropriate
communication in individuals with autism who exhibit severe problem behavior.
Journal of Applied Behavior Analysis, 47(3), 651-656.
http://dx.doi.org/10.1002/jaba.l44
Holdheide, L. R., & Reschly, D. J. (2008). Teacher preparation to deliver inclusive
services to students with disabilities. Retrieved from Eric Institute of Education
Sciences: http://eric.ed.gov/
Horner, R., Carr, E., Halle, J., McGee, G., Odom, S., & Wolery, M. (2005). The use of
single-subject research to identify evidence-based practice in special education.
Exceptional Children, 71(2), 165-179.
http://dx.doi.org/10.1177/001440290507100203
Howe, D., & Fearnley, S. (2003). Disorders of attachment in adopted and fostered
children: Recognition and treatment. Clinical Child Psychology and Psychiatry,
8(3), 369 - 387. http://dx.doi.org/10.1177/1359104503008003007
176
Huemer, S. V., & Mann, V. (2010). A comprehensive profile of decoding and
comprehension in Autism Spectrum Disorders. Journal of Autism and
Developmental Disorders, 40(4), 485?493. http://dx.doi.org/10.1007/s10803-009-
0892-3
Hundert, J., Rowe, S., & Harrison, E. (2014). The combined effects of social script
training and peer buddies on generalized peer interaction of children with asd in
inclusive classrooms. Focus on Autism and Other Developmental Disabilities,
29(4), 206-215. http://dx.doi.org/ 10.1177/1088357614522288
Improving autism care: the NICE quality standard. (2014, March 12). Perspectives in
Public Health, 134(2), 64. http://dx.doi.org/10.1177/1757913914523909
Individuals with Disabilities Education Improvement Act (IDEA), H.R. Res. 108-446,
108th Cong., 1350 H. R. (2004) (enacted).
Individuals with Disability Education Act, H.R. Res. H. R. 5, 105th Cong., 601 House of
Representatives 1 (1997) (enacted).
Ingersoll, B., & Schreibman, L. (2006). Teaching reciprocal imitation skills to young
children with autism using a naturalistic behavioral approach: Effects on
language, pretend play, and joint attention. Journal of Autism and Developmental
Disorders, 36(4), 487-505. http://dx.doi.org/10.1007/s10803-006-0089-y
Ingersoll, B., Lewis, E., & Kroman, E. (2007). Teaching the imitation and spontaneous
use of descriptive gestures in young children with autism using a naturalistic
behavioral intervention. Journal of Autism and Developmental Disorders, 37(8),
1446-1456. http://dx.doi.org/10.1007/s10803-006-0221-z
177
Johnson, A., Barnes, M., & Desrochers, A. (2008). Reading comprehension:
Developmental processes, individual differences, and interventions. Canadian
Psychology/Psychologie Canadienne, 49(2), 125-132.
http://dx.doi.org/10.1037/0708-5591.49.2.125
Johnston, S., Nelson, C., Evans, J., & Palazolo, K. (2003). The use of visual supports in
teaching young children with autism spectrum disorder to initiate interactions.
Augmentative and Alternative Communication, 19(2), 86-103.
http://dx.doi.org/10.1080/0743461031000112016
Jones, C., Happé, F., Golden, H., Marsden, A., Tregay, J., Simonoff, E., ... Charman, T.
(2009). Reading and arithmetic in adolescents with autism spectrum disorders:
Peaks and dips in attainment. Neuropsychology, 23(6), 718-728.
http://dx.doi.org/10.1037/a0016360
Jones, R. L., Schullin, M. H., & Meissner, C. A. (2011). Evidence of differential
performance on simultaneous and sequential lineups for individuals with autism-
spectrum traits. Personality and Individual Differences, 51, 537-540.
http://dx.doi.org/10.1016/j.paid.2011.04013
Kagohara, D. M., van der Meer, L., Ramdoss, S., O'Reilly, M. F., Lancioni, G. E., Davis,
T. N., ... Sigafoos, J. (2013). Using iPods? and iPads? in teaching programs for
individuals with developmental disabilities: A systematic review. Research in
Developmental Disabilities, 34(1), 147-156.
http://dx.doi.org/10.1016/j.ridd.2012.07.027
Kanner, L. (1943). Autistic disturbances of affective contact. Nerve Child, 2, 217-250.
178
Kanner, L. (1949). Problems of nosology and psychodynamics of early infantile autism.
American Journal of Orthopsychiatry, 19(3), 416-426. Retrieved from
www.ebscohost.com
Kartsen, A. M., & Carr, J. E. (2009). The effects of differential reinforcement of
unprompted responding on the skill acquisition of children with autism. Journal
of Applied Behavior Analysis, 42(2), 327-334.
http://dx.doi.org/10.1901/jaba.2009.42-327
Kearney, A. J. (2015). Understanding applied behavior analysis: An introduction to aba
for parents, teachers, and other professionals (2nd ed.). London: Jessica
Kingsley. Retrieved from: Proquest Ebook Central.
Kern, P., Wolery, M., & Aldridge, D. (2007). Use of songs to promote independence in
morning greeting routines for young children with autism. Journal of Autism and
Developmental Disorders, 37(7), 1264-1271. http://dx.doi.org/10.1007/s10803-
006-0272-1
Kerr, S., & Durkin, K. (2004). Understanding the thought bubbles as mental
representations in children with autism: Implications for theory of mind. Journal
of Autism and Developmental Disorders, 34(6), 637-648.
http://dx.doi.org/10.1007/s10803-004-5285-z 10.1007/s10803-004-5285-z
10.1007/s10803-004-5285-z
King, S. A., Lemons, C. J., & Davidson, K. A. (2013). Math growth trajectories of
students with disabilities. Remedial and Special Education, 34(3), 154-165.
http://dx.doi.org/10.1177/0741932512448253
179
Knight, V., Sartini, E., & Spriggs, A. D. (2015). Evaluating visual activity schedules as
evidence-based practice for individuals with autism spectrum disorder. Journal of
Autism and Developmental Disorders, 45(1), 157-178.
http://dx.doi.org/10.1007/s10803-014-2201-z
Koegel, L., Park, M. N., & Koegel, K. (2014). Using self-management to improve the
reciprocal social conversation of children with autism spectrum disorder. Journal
of Autism and Developmental Disorders, 44(5), 1055-1063.
http://dx.doi.org/10.1007/s10803-013-1956-y
Koegel, R. L., Symon, J. B., & Koegel, L. (2002). Parent education for families of
children with autism living in geographically distant areas. Journal of Positive
Behavior Interventions, 42(2), 88-103.
http://dx.doi.org/10.1177/109830070200400204
Koegel, R., Kim, S., Koegel, L., & Schwartzman, B. (2013). Improving socialization for
high school students with asd by using their preferred interests. Journal of Autism
and Developmental Disorders, 43(9), 2121-2134.
http://dx.doi.org/10.1007/s10803-013-1765-3
Koenig, K., White, S. W., Pachler, M., Lau, M., Lewis, M., Klin, A., & Scahill, L.
(2010). Promoting social skill development in children with pervasive
developmental disorders: A feasibility and efficacy study. Journal of Autism and
Developmental Disorders, 40(10), 1209-1218. http://dx.doi.org/10.1007/s10803-
010-0979-x
180
Kopcha, T. J. (2012). Teachers' perceptions of the barriers to technology integration and
practices with technology under situated professional development. Computers &
Education, 59(4), 1109-1121. http://dx.doi.org/10.1016/j.compedu.2012.05.014
Korte, G. (2015, December 11). The every student succeeds act vs. no child left behind:
What's changed? USA Today. Retrieved from www.usatoday.com
Kratochwill, T. R., Hitchcock, J., Horner, R. H., Levin, J. R., Odom, S. L., Rindskopf, D.
M., & Shadish, W. R. (2010). What Works Clearinghouse: Single-case design
technical documentation version 1.0 (pilot). Retrieved from What Works
Clearinghouse website:
https://ies.ed.gov/ncee/wwc/Docs/ReferenceResources/wwc_scd.pdf
Krebs, G., Murray, K., & Jassi, A. (2016). Modified cognitive behavior therapy for
severe, treatment resistant obsessive compulsive disorder in an adolescent with
autism spectrum disorder. Journal of Clinical Psychology, 72(11), 1162-1173.
http://dx.doi.org/10.1002/jclp.22396
Kretlow, A. G., Cooke, N. L., & Wood, C. L. (2012). Using in-service and coaching to
increase teachers' accurate use of research-based strategies. Remedial and Special
Education, 33(6), 348-361. http://dx.doi.org/10.1177/0741932510395397
Krutz, P. F., Boelter, E., Jarmolowicz, D., Chin, M., & Hagopian, L. (2011). An analysis
of functional communication training as an empirically supported treatment for
problem behavior displayed by individuals with intellectual disabilities. Research
in Developmental Disabilities, 32(6), 2935-2942.
http://dx.doi.org/10.1016/j.ridd.2011.05.009
181
Kuhn, S. A., Lerman, D. C., & Vorndran, C. (2006). Analysis of factors that affect
responding in a two-response chain in children with developmental disabilities.
Journal of Applied Behavior Analysis, 39(3), 263-280.
http://dx.doi.org/10.1901/jaba.2006.118-05
Kurtz, L. A. (2008). Understanding controversial therapies for children with Autism,
attention deficit disorder and other learning difficulties: A guide to
complementary and alternative medicine. [ProQuest]. Retrieved from
http://site.ebrary.com/lib/csupomona/detail.action?docID=10251527
LaFrance, D. L., Miguel, C. F., Donahue, J. N., & Fetcher, T. R. (2015). A case study on
the use of auditory integration training as a treatment for stereotypy. Behavioral
Interventions, 30(3), 286-293. http://dx.doi.org/10.1002/bin.1415
Lai, M. C., Lombardo, M. V., Chakrabarti, B., & Baron-Cohen, S. (2013). Subgrouping
the autism spectrum?: Reflections on DSM-5. PlusOne Biology, 11.
Lai, M., Lombardo, M., & Baron-Cohen, S. (2014). Autism. Lancet, 383(9920), 896-910.
http://dx.doi.org/10.1371/journal.pbio.1001544
Lang, R., O'Reilly, M., Healy, O., Rispoli, M., Lyndon, H., Streusand, W., ... Giesbers, S.
(2012). Sensory integration therapy for autism spectrum disorders: A systematic
review. Research in Autism Spectrum Disorders, 6(3), 1004-1018.
http://dx.doi.org/10.1016/j.rasd.2012.01.006
League of California Cities. (2014). Southwest Autism Task Force. Retrieved from
https://www.cacities.org/Member-Engagement/Helen-Putnam-Awards/California-
City-Solutions/2014/Southwest-Riverside-Autism-Task-Force
182
Leflot, G., Onghena, P., & Colpin, H. (2010). Teacher-child interactions: Relations with
children's self-concept in second grade. Infant and Child Development, 19, 385-
405. http://dx.doi.org/10.1002./icd.672
Lemon School District. (2011). Special Education. Retrieved from
www.lemoncounty.us/about/statistics/special-education/
Lemon School District. (2015). School Accountability and Report Card for Lemon
County School District. Retrieved from www.lemoncountyschooldistrict.us
Lerman, D. C., Vorndran, C. M., Addison, L., & Kuhn, S. C. (2004). Preparing teachers
in evidence-based practices for young children with autism. School Psychology
Review, 33(4), 510-525. Retrieved from www.ebscohost.com
Leung, J. P. (1994). Teaching spontaneous requests to children with autism using a time
delay procedure with multi-component toys. Journal of Behavioral Education,
4(1), 21-31. http://dx.doi.org/10.1007/BF01560506
Liber, D., Erea, W., & Symon, J. (2008). Using time-delay to improve social play skills
with peers for children with autism. Journal of Autism and Developmental
Disorders, 38(2), 312-313. http://dx.doi.org/10.1007/s10803-007-0395-z
Lilienfeld, S. O., Marshall, J., Todd, J. T., & Shane, H. C. (2015). The persistence of fad
interventions in the face of negative scientific evidence: Facilitated
communication for autism as a case example. Evidence-Based Communication
Assessment and Intervention, 8(2), 62-101.
http://dx.doi.org/10.1080/17489539.2014.976332
Liu, T., & Breslin, C. (2013). The effect of a picture activity schedule on performance of
the mabc?2 for children with autism spectrum disorder. Research Quarterly for
183
Exercise and Sport, 84(2), 206-212.
http://dx.doi.org/10.1080/02701367.2013.784725
Lobar, S. (2016). Dsm-v changes for autism spectrum disorder (asd): Implications for
diagnosis, management, and care coordination for children with asds. Journal of
Pediatric Health Care: Official Publication of National Association of Pediatric
Nurse Associates & Practitioners, 30(4), 359-365.
http://dx.doi.org/10.1016/j.pedhc.2015.09.005
Lord, C. H., Risi, S. L., Lambrecht, L. C., Cook, E. C., Leventhal, B. C., Dilavore, P. C.,
... Rutter, M. C. (2000). The autism diagnostic observation schedule generic: A
standard measure of social and communication deficits associated with the
spectrum of autism. Journal of Autism and Developmental Disorders, 30(3), 205-
223. http://dx.doi.org/10.1023/A:1005592401947
Lourenco, C., Esteves, D., Corredeia, R., & Seabra, A. (2015). The effect of a
trampoline-based training program on the muscle strength of the inferior limbs
and motor proficiency in children with autism spectrum disorders. Journal of
Physical Education and Sport, 15(3), 592-597.
http://dx.doi.org/10.7752/jpes.2015.03089
Lubas, M., Mitchell, J., & De Leo, G. (2016). Evidence-based practice for teachers of
children with autism. Intervention in School and Clinic, 51(3), 188-193.
http://dx.doi.org/10.1177/1053451215585801
Lucker, J. (1998). Is auditory integration training safe?. Journal of Autism and
Developmental Disorders, 28(3), 267-268. Retrieved from
http://web.a.ebscohost.com.proxy.library.cpp.edu/ehost/pdfviewer/pdfviewer?sid
184
=274d1fe0-00c7-4078-8bc8-
5411658f5d92%40sessionmgr4009&vid=3&hid=4209
Mahan, S., & Matson, J. L. (2011). Children and adolescents with autism spectrum
disorders compared to typically developing controls on the behavioral assessment
system for children, second edition (basc-2). Research in Autism Spectrum
Disorders, 5(1), 119-125. http://dx.doi.org/10.1016/j.rasd.2010.02.007
Manning, M. M., & Wainwright, L. D. (2010). The role of high level play as a predictor
of social functioning in autism. Journal of Autism and Developmental Disorders,
40, 523-533. http://dx.doi.org/10.1007/s10803-009-0899-9
Marcus, L., Scholper, L., & Lord, C. (2000). TEACCH services for preschool children. In
J. Handleman & S. Harris (Eds.), Preschool education programs for children with
autism (2nd ed., pp. 215-232). Austin, TX: PRO-ED.
Marks, S. (2011). Special education: More about social justice, less about caring. Phi
Delta Kappan Magazine, 93(1), 80. http://dx.doi.org/10.2307/23049026
Martinez, C. K., & Betz, A. M. (2013). Response interruption and redirection: Current
research trends and clinical application. Journal of Applied Behavior Analysis,
46(2), 549-554. http://dx.doi.org/10.1002/jaba.38
Matson, J., Adam, H., Williams, L., & Rieske, R. (2013). Why are there so many
unsubstantiated treatments in autism?. Research in Autism Spectrum Disorders,
7(3), 466-474. http://dx.doi.org/10.1016/j.rasd.2012.11.006
Matson, J. L., Sevin, J. A., Box, M. L., Francis, K. L., & Sevin, B. M. (1993). An
evaluation of two methods for increasing self-initiated verbalizations in autistic
185
children. Journal of Applied Behavior Analysis, 26(3), 389-398.
http://dx.doi.org/10.1901/jaba.1993.26-389
Matson, J. L., Tureck, K., & Rieske, R. (2012). The questions about behavioral function:
Current status as a method of functional assessment. Research in Developmental
Disabilities, 33(2), 630-634. http://dx.doi.org/10.1016/j.ridd.2011.11.006
Matson, J., Kozlowski, A., Hattier, M., Horovitz, M., & Sipes, M. (2012). Dsm-iv vs
dsm-5 diagnostic criteria for toddlers with autism. Developmental
Neurorehabilitation, 15(3), 185-190.
http://dx.doi.org/10.3109/17518423.2012.672341
Mazurek, M., Handen, B., Wodka, E., Nowinski, L., Butter, E., & Engelhardt, C. R.
(2014). Age at first autism spectrum disorder diagnosis: The role of birth order
cohort, demographic factors, and clinical features. Journal of Developmental and
Behavioral Pediatrics, 35(9), 561-569.
McKay, D. (2016). Cognitive-behavioral treatment of hoarding in youth: A case
illustration. Journal of Clinical Psychology, 72(11), 1209-1218. Abstract retrieved
from onlinelibrary.wiley.com
McKenney, E. L., & Bristol, R. M. (2015). Supporting intensive interventions for
students with autism spectrum disorder: Performance feedback and discrete trial
teaching. School Psychology Quarterly, 30(1), 8-22.
http://dx.doi.org/10.1037/spq0000060
Mercer, J. (2012). Reply to Sudbery, Shardlow and Huntington: Holding therapy. British
Journal of Social Work, 42(3), 556-559. http://dx.doi.org/10.1093/bjsw/bcr078
186
Merriam, S. B., & Bierema, L. L. (2013). Adult learning: Linking theory and practice.
[ProQuest ebrary]. Retrieved from
http://site.ebrary.com/lib/csupomona/detail.action?docID=10756805
Mesibov, G. B., & Shea, V. (2010). The TEACCH in the era of evidence-based practice.
Journal of Autism and Developmental Disorders, 40(5), 570-579.
http://dx.doi.org/10.1007/s10803-009-0901-6
Mills v. Board of Education District of Columbia, 348 F Supp. 866 (D.D.C. 1972).
Moore, K. M., Cividini-Motta, C., Clark, K., & Ahearn, W. (2015). Sensory integration
as a treatment for automatically maintained stereotypy. Behavioral Interventions,
30(2), 95-111. http://dx.doi.org/10.1002/bin.1405
Morrier, M. J., Hess, K. L., & Heflin, L. J. (2006). Autism treatment survey [Survey]. : .
Morrier, M. J., Hess, K. L., & Heflin, L. J. (2011). Teacher training for implementation
of teaching strategies for students with autism spectrum disorders. Teacher
Education and Special Education, 34(2), 119-132.
http://dx.doi.org/10.1177/0888406410376660
Nathan, P. E., & Gorman, J. M. (2007). A guide to treatments that work (3rd ed.). New
York, NY: Oxford University Press.
Nation, K., Clarke, P., Wright, B., & Williams, C. (2006). Patterns of reading ability in
children with autism spectrum disorder. Journal of Autism and Developmental
Disorders, 36(7), 911-919. http://dx.doi.org/10.1007/s10803-006-0130-1
Nation, K., Cocksey, J., Taylor, J. S., & Bishop, D. V. (2010). A longitudinal
investigation of early reading and language skills in children with poor reading
187
comprehension. Journal of Child Psychology and Psychiatry, 51(9), 1031-1039.
http://dx.doi.org/10.1111/j.1469-7610.2010.02254.x
National Professional Developmental Center on Autism Spectrum Disorder. (n.d.). What
criteria determined if an intervention was effective? Retrieved from
http://autismpdc.fpg.unc.edu/what-criteria-determined-if-intervention-was-
effective
National Professional Developmental Center on Autism Spectrum Disorders (2014).
Evidence based practices. Retrieved from http://autismpdc.fpg.unc.edu/evidence-
based-practices
National Professional Developmental Center on Autism Spectrum Disorder. (2016a).
Evidence-Based Practices. Retrieved from http://autismpdc.fpg.unc.edu/evidence-
based-practices
National Professional Developmental Center. (2016b). Matrix of evidence-based
practices by outcome and age. Retrieved from
http://autismpdc.fpg.unc.edu/sites/autismpdc.fpg.unc.edu/files/imce/documents/E
BP%20Matrix%208-11-16.pdf
Nilsen, P. (2015). Making sense of implementation theories, models and frameworks. Implementation Science. 10(53), http://dx.doi.org/10.1186/s13012-015-0242-0. Neuman, D. (2014). Qualitative research in educational communications and technology:
A brief introduction to principles and procedures. Journal of Computing in Higher
Education, 26(1), 69-86. http://dx.doi.org/10.1007/s12528-014-9078-x
No Child Left Behind Act (NCLB), H.R. Res. 110, 107th Cong., 110 H. R. (2002)
(enacted).
188
Noddings, N. (2012a). The caring relation in teaching. Oxford Review of Education,
38(6), 771-781. http://dx.doi.org/10.1080/03054985.2012.745047
Noddings, N. (2012b). The language of care ethics. Knowledge Quest, 40(5), 52-56.
Retrieved from www.ebcohost.com
Nye, C., & Brice, A. (2005). Combined vitamin B6-magnesium treatment in autism
spectrum disorder. Cochrane Database Systematic Reviews, 4.
http://dx.doi.org/10.1002/14651858.CD003497
O'Brien, S. L. (2013). The influences of daily stressors, severity of behavior problems,
uncertainty, and copying strategies on family adaption in families of adolescents
with autism spectrum disorders (Doctoral dissertation). Available from ProQuest
Dissertations and Theses database. (229)
Odom, S. L. (2009). The tie that binds. Topics in Early Childhood Special Education,
29(1), 53-61. http://dx.doi.org/10.1177/0271121408329171
Odom, S. L., Boyd, B. A., Hall, L. J., & Hume, K. (2010). Evaluation of comprehensive
treatment models for individuals with autism spectrum disorders. Journal of
Autism and Developmental Disorders, 40(4), 425-436.
http://dx.doi.org/10.1007/s10803-009-0825-1
Odom, S. L., Collet-Klingenberg, L., Rogers, S. J., & Hatton, D. D. (2010). Evidence-
based practices in interventions for children and youth with autism spectrum
disorders. Preventing School Failure, 54(4), 275-282.
http://dx.doi.org/10.1080/10459881003785506
189
Odom, S. L., Cox, A. W., & Brock, M. E. (2013). Implementation science, professional
development, and autism spectrum disorders. Exceptional Children, 79(2), 233-
251. http://dx.doi.org/10.1177/001440291307900207
Odom, S. L., & Strain, P. S. (1984). Peer-mediated approaches to promoting children's
social interaction: A review. American Journal of Orthopsychiatry, 54(4), 544-
557. http://dx.doi.org/10.1111/j.1939-0025.1984.tb01525.x
Odom, S. L., Thompson, J. L., Hedges, S. A., Boyd, B. R., Dykstra, J. A., Duda, M. L., ...
Bord, A. E. (2015). Technology-aided interventions and instruction for
adolescents with autism spectrum disorder. Journal of Autism and Developmental
Disorders, 45(12), 3805-3819. http://dx.doi.org/10.1007/s10803-014-2320-6
Ohio Center for Autism and Low Incidence. (n.d.). Assistive technology internet
modules. Retrieved from http://www.atinternetmodules.org/
Oliveras-Rentas, R. E., Kenworthy, L., Roberson III, R. B., Martin, A., & Wallace, G. L.
(2011). Wisc-iv profile in high-functioning autism spectrum disorders: Impaired
processing speed is associated with increased autism communication symptoms
and decreased adaptive communication abilities. Journal of Autism and
Developmental Disorders, 42(5), 655-664. http://dx.doi.org/10.1007/s10803-011-
1289-731
Olson, L. J., & Moulton, H. J. (2004). Use of weighted vests in pediatric occupational
therapy practice. Physical & Occupational Therapy in Pediatrics, 24(3), 45?60.
http://dx.doi.org/10.1300/J006v24n03_04
190
Ozsivadjian, A., & Knott, F. (2011). Anxiety problems in young people with autism
spectrum disorder: A case series. Clinical Child Psychology and Psychiatry,
16(2), 203-214. http://dx.doi.org/10.1177/1359104511404749
Palinkas, L. A., Horwitz, S., Green, C., Wisdom, J., Duan, N., & Hoagwood, A. P.
(2015). Purposeful sampling for qualitative data collection and analysis in mixed
method implementation research. Administration and Policy in Mental Health and
Mental Health Services Research, 42(5), 533-544.
http://dx.doi.org/10.1007/s10488-013-0528-y
Palmen, A., Didden, R., & Arts, M. (2008). Improving question asking in high-
functioning adolescents with autism spectrum disorders. Autism, 12(1), 83-98.
http://dx.doi.org/10.1177/1362361307085265
Pan, C. (2010). Effects of water exercise swimming program on aquatic skills and social
behaviors in children with autism spectrum disorders. Autism, 14(1), 9-28.
http://dx.doi.org/10.1177/1362361309339496
Parker, D., & Kamps, D. (2011). Effects of task analysis and self-monitoring for children
with autism in multiple social settings. Focus on Autism and Other
Developmental Disabilities, 26(3), 131-142.
http://dx.doi.org/10.1177/1088357610376945
Pastrana, S. J., Rapp, J. T., & Frewing, T. M. (2013). Immediate and Subsequent Effects
of Response interruption and redirection on targeted and untargeted forms of
stereotypy. Behavior Modification, 37(4), 591-610.
http://dx.doi.org/10.1177/0145445513485751
Pavlov, I. P. (1927). Conditioned reflexes. New York: Dover.
191
Paynter, J. M., & Keen, D. M. (2015). Knowledge and use of intervention practices by
community-based early intervention service providers. Journal of Autism and
Developmental Disorders, 45(6), 1614-1623. http://dx.doi.org/10.1007/s10803-
014-2316-2
Pennsylvania Association for Retarded Children v. Common Wealth of Pennsylvania,
334 F. Supp 1257 (E. D. Pa 1972).
Pfeffer, J., & Sutton, R. I. (2000). The knowing-doing gap: How smart companies turn
knowledge into action. Boston, MA: Harvard Business School Press.
Phillips, J. C. (2014). The effects of a brief in-service course on teacher's skill in building
cooperation in three to five-year-old children (Doctoral dissertation). Retrieved
from https://ir.canterbury.ac.nz
Piazza, C. C., Adelenis, J. D., Hanley, G. P., Goh, H., & Delia, M. (2000). An evaluation
of the effects of matched stimuli on behaviors maintained by automatic
reinforcement. Journal of Applied Behavior Analysis, 33(1), 13-27.
http://dx.doi.org/10.1901/jaba.2000.33-13
Pitts, C. E. (1971). Introduction to educational psychology: An operant conditioning
approach. New York: Crowell.
Powers, M. D. (2013). Behavior assessment of individuals with autism: A functional
ecological approach. In F. E. Volkmar, R. Paul, A. Klin, & D. Cohen (Eds.),
Handbook of Autism and Pervasive Developmental Disorders (3rd ed., pp. 817-
830). Retrieved from Proquest elibrary
Ramdoss, S., Mulloy, A., Lang, R., O'Reilly, M., Sigafoos, J., & Zein, F. E. (2011).
Review use of computer-based interventions to improve literacy skills in students
192
with autism spectrum disorders: A systematic review. Research in Autism
Spectrum Disorder, 5, 1306-1318. http://dx.doi.org/10.1016/j.rasd.2011.03.004
Ramnero, J. (2008). The ABCs of human behavior: Behavioral principles for the
practicing clinician. [ProQuest ebrary]. Retrieved from www.proquest.com
Reaven, J., Blakeley-Smith, A., Culhane-Shelburne, K., & Hepburn, S. (2012). Group
cognitive behavior therapy for children with high-functioning autism spectrum
disorders and anxiety: A randomized trial. Journal of Child Psychology and
Psychiatry, 53(4), 410-419. http://dx.doi.org/10.1111/j.1469-7610.2011.02486.x
Rehabilitation Act, S. Res. 20, Cong., 504 U.S.C. (1973) (enacted).
Reichow, B., Volkmar, F., & Cicchetti, D. (2008). Development of the evaluation method
for evaluating and determining evidence based-practices in autism. Journal of
Autism and Developmental Disorders, 38(7), 1311-1319.
http://dx.doi.org/10.10007/s10803-007-0517-7
Reichow, B. R., Barton, E. E., Sewell, J. N., Good, S., & Wolery, M. (2010). Effects of
weighted vests on the engagement of children with developmental delays and
autism. Focus on Autism and Other Developmental Disabilities, 25(1), 3-11.
http://dx.doi.org/10.1177/1088357609353751
Renta-Davids, A., Jiminez-Gonzalez, J., Fandos-Garridos, M., & Gonzalez-Soto, A.
(2016). Organisational and training factors affecting academic teacher training
outcomes. Teaching in Higher Education, 21(2), 219-231. Abstract retrieved from
https://xerxes.calstate.edu/pomona/articles/record?id=tayfranc10.1080%2F13562
517.2015.1136276
193
Research Autism: Improving the Quality of Life. (2016). Holding therapy and autism.
Retrieved from http://researchautism.net/autism-interventions/our-evaluations-
interventions/71/holding-therapy-and-autism
Rigsby-Elredge, M., & McLaughlin, T. F. (1992). The effects of modeling and praise on
self-initiated behavior across settings with two adolescent students with autism.
Journal of Developmental and Physical Disabilities, 4(3), 205-218.
http://dx.doi.org/10.1007/BF01046965
Rimland, B. (1964). Infantile autism: The syndrome and its implications for a neural
theory of behavior. New York: Appleton-Century-Crofts.
Rimland, B. (1971). The differentiation of childhood psychoses: An analysis of checklists
for 2,218 psychotic children. Journal of Autism and Childhood Schizophrenia,
1(2), 161-174. http://dx.doi.org/10.1007/BF01537955
Rocha, M. L., Schreibman, L., & Stahmer, A. (2007). Effectiveness of training parents to
teach joint attention in children with autism. Journal of Early Intervention, 29(2),
154-172. http://dx.doi.org/10.1177/105381510702900207
Rodrigues, J., Gonclaves, N., Costa, S., & Soares, F. (2013). Stereotyped movement
recognition in children with asd. Sensors and Actuators A-Physical, 202, 162-169.
http://dx.doi.org/10.1016/j.sna.2013.04.019
Rogers, E. L. (2001). Functional behavioral assessment and children with autism:
Working as a team. Focus on Autism and Other Developmental Disabilities,
16(4), 228-231. http://dx.doi.org/10.1177/108835760101600405
194
Rogers, S., & Vismara, L. (2008). Evidence-based comprehensive treatments for early
autism. Journal of Clinical Child and Adolescent Psychology, 37(1), 8-38.
http://dx.doi.org/10.1080/15374410701817808
Rosenthal-Malek, A., & Mitchell, S. (1997). Brief report: The effects of exercise on the
self-stimulatory behaviors and positive responding of adolescents with autism.
Journal of Autism and Developmental Disorders, 27(2), 193-202. Retrieved from
www.ebcohost.com
Rossignol, D. A. (2009). Novel and emerging treatments for autism spectrum disorders:
A systematic review. Annals of Clinical Psychiatry: Official Journal of the
American Academy of Clinical Psychiatrists, 21(4), 213-236. Retrieved from
https://pdfs.semanticscholar.org/f100/72fe08598869e8bb681f200f7ee6f0047ef7.p
df
Rotherham-Fuller, E., Kasari, C., Chamberlaine, B., & Locke, J. (2010). Social
involvement of children with autism spectrum disorders in elementary school
classrooms. Journal of Child Psychology and Psychiatry, 51(11), 1227-1234.
http://dx.doi.org/10.1111/j.1469-7610.2010.02289.x
Rutter, M. (1978). Diagnosis and definition of childhood autism. Journal of Childhood
Schizophrenia, 8(2), 139-161. http://dx.doi.org/10.1007/BF01537863
Rutter, M. (2005). Aetiology of autism: findings and questions. Journal of Intellectual
Disability Research, 49(4), 231-238. Retrieved from
http://proxy.library.cpp.edu/login?url=http://search.ebscohost.com/login.aspx?dir
ect=true&AuthType=ip,uid&db=rzh&AN=106383059&site=ehost-
live&scope=site
195
Ryan, R. (2016, July 19). Autism 'how diet cured my son'. Daily Mail. Retrieved from
www.dailymail.co.uk
Saban, L. I. (2011). Looking into the eyes of those we serve: Toward complex equality in
public administration ethics. The American Review of Public Administration,
41(2), 141-156. http://dx.doi.org/10.1177/0275074010368429
Saloviita, T. (2016). Does linguistic analysis confirm the validity of facilitated
communication?. Focus on Autism and Other Developmental Disabilities, 1-9.
http://dx.doi.org/10.1177/1088357616646075
Sansosti, F. (2010). Teaching social skills to children with autism spectrum disorders
using tiers of support: A guide for school-based professionals. Psychology in the
Schools, 47(3), 257-281. http://dx.doi.org/10.1002/pits.20469
Sansosti, J., & Sansosti, F. (2012). Inclusion for students with high-functioning autism
spectrum disorders: Definitions and decision making. Psychology in the Schools,
49(10), 917-931. http://dx.doi.org/10.1002/pits.21652
Saris, W. E., & Gallhofer, I. N. (2014). Design, evaluation, and analysis of
questionnaires for survey research (2nd ed.).
http://dx.doi.org/10.1002/9781118634646
Sarokoff, R. A., Taylor, B. A., & Poulson, C. L. (2001). Teaching children with autism to
engage in conversational exchanges: Script fading with embedded textual stimuli.
Journal of Applied Behavior Analysis, 34(1), 81-84. Abstract retrieved from
http://onlinelibrary.wiley.com/doi/10.1901/jaba.2001.34-81/abstract
196
Scattone, D., & Billhofer, B. (2008). Teaching sign language to a nonvocal child with
autism. The Journal of Speech and Language Pathology- Applied Behavior
Analysis, 3(1), 78-85. http://dx.doi.org/10.1037/h0100234
Scattone, D., & Mong, M. (2013). Cognitive behavior therapy in the treatment of anxiety
for adolescents and adults with autism spectrum disorders. Psychology in the
Schools, 50(9), 923-935. http://dx.doi.org/10.1002/pits.21717
Schieltz, K. M., Wacker, D. P., Ringdahl, J. E., & Berg, W. K. (2017). Basing assessment
and treatment of problem behavior on behavioral momentum theory: Analyses of
behavioral persistence. Behavioural Processes, 141(1), 75-84.
http://dx.doi.org/10.1016/j.beproc.2017.02.013
Schopler, E. (1998). Will your journal support parents advocating for incentive behavior
therapy (the Lovaas method) as an entitlement under part h of the individual with
disabilities education act? Journal of Autism and Developmental Disorders, 28(1),
91.
Schopler, E. J., Reichler, R. F., DeVellis, R. F., & Daly, K. F. (1980). Toward objective
classification of childhood autism: Childhood autism rating scale (cars). Journal
of Autism and Developmental Disorders, 10(1), 91-103.
http://dx.doi.org/10.1007/BF02408436
Schreiber, C. (2011). Social skills interventions for children with high-functioning autism
spectrum disorders. Journal of Positive Behavior Interventions, 13(1), 49-62.
http://dx.doi.org/10.1177/1098300709359027
197
Scott, D., & Morrison, M. (2005). Key ideas in educational research. [Proquest].
Retrieved from
http://site.ebrary.com/lib/csupomona/detail.action?docID=10224671
Seal, B. C., & Bonvillian, J. D. (1997). Sign language and motor functioning in students
with autistic disorder. Journal of Autism and Developmental Disorders, 27(4),
437-466. http://dx.doi.org/10.1023/A:1025809506097
Sergiovanni, T. J. (1979). Rational bureaucratic, collegial, and political views of the
principal's role. The Role of the Principal as Instructional Leader, 18(1), 12-20.
Sergiovanni, T. J. (2004a). Balance individual anatomy and collaboration to center on
students. Educational Digest: Essential Reading Condensed for Quick Review,
70(3), 17-22.
Sergiovanni, T. J. (2004b). Strengthening the heartbeat-leading and learning together in
schools. San Francisco, CA: Josey-Bass.
Serpell, Z., & Mashburn, A. (2012). Family-school connectedness and children's early
social development. Social Development, 21(1), 21-46.
http://dx.doi.org/10.1111/j.1467-9507.2011.00623.x
Shapiro, J. P., & Stefkovich, J. A. (2011). Ethical leadership and decision making in
education: Applying theoretical perspectives to complex dilemmas (3rd ed.). New
York: Routledge.
Sigafoos, J., Green, V., Payne, D., O'Reilly, M., & Lancioni, G. (2009). A classroom-
based antecedent intervention reduces obsessive-repetitive behavior in an
adolescent with autism. Clinical Case Studies, 8(1), 3-13.
http://dx.doi.org/10.1177/1534650108327475
198
Simpson, R. (2005). Evidence-based practices and students with autism spectrum
disorders. Focus on Autism and Other Developmental Disabilities, 20, 140-149.
http://dx.doi.org/10.1177/10883576050200030201
Simpson, R. (2008). Children and youth with autism spectrum disorders: The search for
effective methods. Focus on Exceptional Children, 40(7), 1.
Simpson, R. L. (2003). Policy-related research issues and perspectives. Focus on Autism
and Other Developmental Disabilities, 18(3), 10.1177/10883576030180030701.
Skinner, B. F. (1957). Verbal behavior. New York: Appleton-Century-Crofts.
Skinner, B. F. (1966). The behavior of organisms: An experimental analysis. New York:
Appleton-Century-Crofts.
Slocum, S., Spencer, T., & Detrich, R. (2012). Best available evidence: Three
complementary approaches. Education and Treatment of Children, 32(2), 153-
181. Retrieved from
http://proxy.library.cpp.edu/login?url=http://search.ebscohost.com/login.aspx?dir
ect=true&AuthType=ip,uid&db=ehh&AN=74231749&site=ehost-
live&scope=site
Smith, T., Groen, A. D., & Wynn, J. W. (2000). Randomized trial of intensive early
intervention for children with pervasive developmental disorders. American
Journal on Mental Retardation, 105(4), 269-285. http://dx.doi.org/10.1352/0895-
8017(2000)105
Spain, D., & Blainey, S. H. (2015). Group social skills interventions for adults with high-
functioning autism spectrum disorders: A systematic review. Autism, 19(7), 874 -
886. http://dx.doi.org/10.1177/1362361315587659
199
Spector, J. (2011). Sight word instruction for students with autism: An evaluation of the
evidence base. Journal of Autism and Developmental Disorders, 41(10), 1411-
1422. http://dx.doi.org/10.1007/s10803-010-1165-x
Spencer, T., Detrich, R., & Slocum, T. (2012). Evidence-based practice: A framework for
making effective decisions. Evidence-based practice: A framework for Education
and Treatment of Children, 35(2), 127-151. Retrieved from
http://proxy.library.cpp.edu/login?url=http://search.ebscohost.com/login.aspx?dir
ect=true&AuthType=ip,uid&db=ehh&AN=74231748&site=ehost-
live&scope=site
Sperry, L., Neitzel, J., & Engelhardt-Wells, K. (2010). Peer-mediated instruction and
intervention strategies for students with autism spectrum disorders. Preventing
School Failure: Alternative Education for Children and Youth, 54(4), 256-264.
http://dx.doi.org/10.1080/10459881003800529
Spreckley, M,. & Boyd, R. (2009). Efficacy of applied behavior intervention in preschool
children with autism for improving cognitive, language, and adaptive behavior: A
systematic review. The Journal of Pediatrics. 154 (3). 338-344.
http://dx.doi.org/10.1016/j.jpeds.2008.09.012
Spring, J. (2015). American education (17th ed.). New York: Routledge.
Stahmer, A. C., & Ingersoll, B. (2004). Inclusive programming for toddlers with autism
spectrum disorders outcomes from the children's toddler school. Journal of
Positive Behavior Interventions, 6(2), 67-82.
http://dx.doi.org/10.1177/10983007040060020201
200
Stahmer, A. C., Collings, N. M., & Palinkas, L. A. (2005). Early intervention practices
for children with autism: Descriptions from community providers. Focus on
Autism and Other Developmental Disabilities, 20(2), 66-79. Retrieved from
http://www-ncbi-nlm-nih-gov.proxy.library.cpp.edu/pmc/articles/PMC1350798/
Stahmer, A., Rieth, S., Lee, E., Reisinger, E., Mandell, D., & Connell, J. E. (2015).
Training teachers to use evidence-based practices for autism: Examining
procedural implementation fidelity. Psychology in the Schools, 52(2), 181-195.
http://dx.doi.org/10.1002/pits.21815
Starr, E., & Foy, J. (2012). Parent's voices: The education of children with autism
spectrum disorders. Remedial and Special Education, 33(4), 207-216.
http://dx.doi.org/10.1177/074193251083161
State of California Commission on Teacher Credentialing. (2016). Education specialist
instruction credential: Requirements for teachers prepared in California for the
preliminary and clear credentials. Retrieved from
http://www.ctc.ca.gov/credentials/leaflets/cl808ca.pdf
Steeg, S. M., & Lambson, D. (2015). Collaborative professional development. Reading
Teacher, 68(6), 473-478. http://dx.doi.org/10.1002/trtr.1338
Stephenson, J., & Carter, M. (2009). The use of weighted vests with children with autism
spectrum disorders and other disabilities. Journal of Autism and Developmental
Disorders, 39(1), 105-114. http://dx.doi.org/10.1007/s10803-008-0605-3
Stephenson, J., Carter, M., & Kemp, C. (2011). Quality of the information on educational
and therapy interventions provided on the web sites of national autism
201
associations. Research in Autism Spectrum Disorders, 6(1), 11-18.
http://dx.doi.org/10.1016/j.rasd.2011.08.002
Stirman, S. W., Kimberly, N., Cook, N., Calloway, A., Castro, F., & Charns, M. (2012).
The sustainability of new programs and innovations: A review of the empirical
literature and recommendations for future research. Implementation Science.
7(17). https://doi.org/10.1186/1748-5908-7-17
Stockall, N., & Dennis, L. R. (2013). Using pivotal response training and technology to
engage preschoolers with autism in conversations. Intervention in School and
Clinic, 49(4), 195-202. http://dx.doi.org/10.1177/1053451213509486
Strauss, K., Esposito, M., Polidori, G., Vicari, S., Valeri, G., & Fava, L. (2014).
Facilitating play, peer engagement and social functioning in a peer group of
young autistic children: Comparing highly structured and more flexible
behavioral approaches. Research in Autism Spectrum Disorders, 413-423.
http://dx.doi.org/10.1016/j.rasd.2014.01.002
Strickland, B. B. (2001). Operant conditioning. In The Gale Encyclopedia of Psychology
(2nd, p. 682). [Ebscohost]. Retrieved from www,ebscohost.com
Sudbery, J., Shardlow, S., & Hunington, A. (2010). To have and to hold: Questions about
a therapeutic service for children. British Journal of Social Work, 40(5), 1534-
1552. http://dx.doi.org/10.1093/bjsw/bcp078
Suhrheinrich, J., Stahmer, A., Reed, S., Schreibman, L., Reisinger, E., & Mandell, D.
(2013). Implementation challenges in translating pivotal response training into
community settings. Journal of Autism and Developmental Disorders, 43(12),
2970-2976. http://dx.doi.org/10.1007/s10803-013-1826-7
202
Symon, J. B. (2005). Expanding interventions for children with autism: Parents as
trainers. Journal of Positive Behavior Interventions, 7(3), 159-173.
http://dx.doi.org/10.1177/10983007050070030501
Tashakkori, A., & Teddlie, C. (2003). Handbook of mixed methods in social &
behavioral research. Thousand Oaks, CA: SAGE Publication.
Taylor, B. A., & Harris, S. L. (1995). Teaching children with autism to seek information:
Acquisition of novel information and generalization of responding. Journal of
Applied Behavior Analysis, 28(1), 3-14. http://dx.doi.org/10.1901/jaba.1995.28-3
Thiemann, K. S., & Goldstein, H. (2004). Effects of peer training and written text cueing
on social communication of school-age children with pervasive developmental
disorder. Journal of Speech, Language, and Hearing Research, 47(1), 126-144.
http://dx.doi.org/10.1044/1092-4388(2004/012)
Thiemann-Borque, K., Brady, N., McGuff, S., Stump, K., & Naylor, A. (2016). Picture
exchange communication system and pals: A peer-mediated augmentative and
alternative communication intervention for minimally verbal preschoolers with
autism. Journal of Speech, Language, and Hearing Research, 59(5), 1133-1145.
http://dx.doi.org/10.1044/2016_JSLHR-L-15-0313
Thompson, T. (2013). Autism research and services for young children: History, progress
and challenges. Journal of Applied Research in Intellectual Disabilities, 26, 81-
107. http://dx.doi.org/10.1111/jar.12021
Thorius, K., & Maxcy, B. (2015). Critical practice analysis of special education policy.
Remedial and Special Education, 36(2), 116-124.
http://dx.doi.org/10.1177/0741932514550812
203
Travers, J. (2017). Evaluating claims to avoid pseudoscientific and unproven practices in
special education. Intervention in School and Clinic, 52(4), 195-203.
http://dx.doi.org/10.1177/1053451216659466
Travers, J. C., Tincani, M. J., & Lang, R. (2014). Facilitated communication denies
people with disabilities their voice. Research and Practice for Persons with
Severe Disabilities, 39(3), 195-202. http://dx.doi.org/10.1177/1540796914556778
United States Census Bureau. (2016). Quick facts. Retrieved from http://www.census.gov
U.S. Department of Education, National Center for Educational Statistics. (2016a).
Digest of Education Statistics, 2014. Retrieved from http://nces.ed.gov/
U.S. Department of Education. (2016b). 38th annual report to congress on the
implementation of the individuals with disabilities education act (ED-OSE-12-C-
0031). Washington, DC: Government Printing Office.
U.S. Department of Education, Office of Postsecondary Education. (2016). Preparing
and credentialing the nation's teachers: The secretary's 10th report on teacher
quality. Retrieved from
http://www2.ed.gov/about/reports/annual/teachprep/index.html
U.S. Department of Education. (2010). Thirty-five years of progress in educating
children with disabilities through IDEA. Retrieved from
https://www2.ed.gov/about/offices/list/osers/idea35/history/idea-35-history.pdf
Vetter, A. (2012). Teachers as architects of transformation: The change process of an
elementary-school teacher in a practitioner research group. Teacher Education
Quarterly, 39(1), 27-49. Retrieved from http://www.jstor.org/stable/23479561
204
Vogt, W. P. (2007). Quantitative research methods for professionals. Boston: Pearson
Education
Watkins, L., O'Reilly, M., Kuhn, M., Gevarter, C., Lancioni, G. E., Sigafoos, J., & Lang,
R. (2015). A review of peer-mediated social interaction interventions for students
with autism in inclusive settings. Journal of Autism and Developmental
Disorders, 45(4), 1070-1083. http://dx.doi.org/10.1007/s10803-014-2264-x
Watson, H. J., & Rees, C. S. (2008). Meta-analysis of randomized, controlled treatment
trials for pediatric obsessive-compulsive disorder. Journal of Child Psychology
and Psychiatry, 49(5), 489-498. http://dx.doi.org/10.1111/j.1469-
7610.2007.01875.x
Ware, L. (1994). Contextual Barriers to Collaboration. Journal of Educational and
Psychological Consultation, 5(4), 339-357. Retrieved from: www.ebcohost.com
Wei, X., Lenz, K. B., & Blackorby, J. (2013). Math growth trajectories of students with
disabilities. Remedial and Special Education, 34(3), 154-165.
http://dx.doi.org/10.1177/0741932512448253
Welner, K. G. (2001). Legal Rights, Local Wrongs: When Community Control Collides
with Educational Equity. SUNY Series, Restructuring and School Change.
Albany, NY: State University of New York Press.
What Works Clearinghouse. (2014). Procedures and standards handbook version 3.0.
[Handbook]. Retrieved from
http://ies.ed.gov/ncee/wwc/pdf/reference_resources/wwc_procedures_v3_0_stand
ards_handbook.pdf.
205
What Works Clearinghouse. (n.d.). Connecting research and practice to improve
education. Retrieved from
http://ies.ed.gov/ncee/wwc/pdf/reference_resources/wwc_ebrochure_062714.pdf
What Works Clearinghouse. (n.d.). Fact Sheet. Retrieved from
http://ies.ed.gov/ncee/wwc/Document.aspx?sid=15&pid=2
White, S. W., & Roberson-Nay, R. (2009). Autism, social deficits, and loneliness in
youth with autism spectrum disorders. Journal of Autism and Developmental
Disorders, 39(7), 1006-1013. http://dx.doi.org/10.1007/s10803-009-0713-8
Whitehouse, A. J. (2013). Complementary and alternative medicine for autism spectrum
disorders: Rationale, safety and efficacy. Journal of Pediatrics and Child Health,
49(9), 438-442. http://dx.doi.org/10.1111/jpc.12242
Wichnick-Gillis, A. M., Vener, S. M., & Poulson, C. (2016). The effect of a script-fading
procedure on social interactions among young children with autism. Research in
Autism Spectrum Disorders, 26, 1-9. http://dx.doi.org/10.1016/j.rasd.2016.03.004
American Psychiatric Association. (1980). Diagnostic and statistical manual of
mental disorders (3rd ed.). Arlington, VA: American Psychiatric Publishing
Wilson, K. (2013). Teaching social-communication skills to preschoolers with autism:
Efficacy of video versus in vivo modeling in the classroom. Journal of Autism
and Developmental Disorders, 43(8), 1819-1831.
http://dx.doi.org/10.1007/s10803-012-1731-5
Wilson, K. P. (2013). Teaching social-communication skills to preschoolers with autism:
Efficacy of video versus in vivo modeling in the classroom. Journal of Autism
206
and Developmental Disorders, 43(8), 1819-1831.
http://dx.doi.org/10.1007/s10803-012-1731-5
Winn, J., & Blanton, L. (2005). The call for collaboration in teacher education. Focus on
Exceptional Children, 38(2), 1-10. Retrieved from www.ebcohost.com
Wombles, K. (2015). Some fads never die- they only hide behind other names: Facilitated
communication is not and never will be augmentative and alternative
communication. Evidence-Based Communication Assessment and Intervention,
8(4), 181-186. http://dx.doi.org/10.1080/17489539.2015.1012780
Wong, C., Odom, S. L., Hume, K. A., Cox, A. W., Fettig, A., Kucharczyk, S., ... Schultz,
T. R. (2015). Evidence-based practices for children, youth, and young adults with
Autism Spectrum Disorder: A comprehensive review. Journal of Autism and
Developmental Disorders, 45(7), 1951-1966. http://dx.doi.org/10.1007/s10803-
014-2351-z
Wood, J. J., Drahota, A., Sze, K., Har, K., Chiu, A., & Langer, D. A. (2009). Cognitive
behavioral therapy for anxiety in children with autism spectrum disorders: A
randomized, controlled trial. Journal of Child Psychology and Psychiatry, 50(3),
224-234. http://dx.doi.org/10.1111/j.1469-7610.2008.01948.x
Yell, M. L. (2012). The law and special education (3rd ed.). Boston, MA: Pearson
Education.
Yell, M. L., & Katsiyannis, A. (2004). Placing students with disabilities in inclusive
settings: Legal guidelines and preferred practices. Preventing School Failure,
49(1), 28-35. http://dx.doi.org/ 10.3200/PSFL.49.1.28-35
207
Yell, M., Katsiyannis, A., Drasgow, E., & Herbst, M. (2003). Developing legally correct
and educationally appropriate programs for students with autism spectrum
disorders. Focus on Autism and Other Developmental Disabilities, 18(3), 182-
191. http://dx.doi.org/10.1177/10883576030180030601
Zhao, Y., & Frank, K. (2002). Factors affecting technology uses in schools: An
ecological perspective. American Educational Research Journal, 40(4), 807-840.
Retrieved from www.proquest.com
Zuckerman, K. E., Mattox, K. M., Sinche, B. K., Blaschke, G. S., & Bethell, C. (2014).
Racial, ethnic, and language disparities in early childhood
developmental/behavioral evaluations: A narrative review. Clinical Pediatrics,
53(7), 619-631. http://dx.doi.org/10.1177/0009922813501378
208
APPENDIX A INFORMED CONSENT
INFORMED CONSENT TO PARTICIPATE IN A SURVEY STUDY As Part of the Doctorate Program in California State Polytechnic University, Pomona
As a special education teacher, you are invited to participate in a research study on Evidence- basedPractices and Students with Autism Spectrum Disorder. This form provides you with information about the study. The Cal Poly Pomona Institutional Review Board has reviewed and approved for conduct this research involving human subjects under protocol IRB-17-2. Lindsey Denniston is conducting the study for a dissertation, supervised by Dr. Amy Gimino, Associate Professor in the Department of Education. This modified Autism Treatment Survey will take approximately 30 minutes to complete and includes short answer and multiple-choice options. The survey will be confidential, meaning that no specific responses may be associated with you as an individual. The consent form and link to the survey will be sent from a representative of the school district to applicable special education educators in the district to protect confidentiality from the researcher. Educators may decline to participate without penalty or loss of benefits to which the subject is otherwise entitled, and you, the subject, may discontinue participation at any time without penalty. No compensation is offered for your participation. Discomforts from completing the survey may include time to complete the survey. Benefits to completing the survey include satisfaction with assisting in furthering research and broadening your knowledge.
The data will be utilized in a dissertation, possibly a research presentation, publication, and reports to the districts. As a condition of using the survey, the data will be analyzed by Dr. Michael Morrier Program Director, Screening and Assessment at Emory University School of Medicine and colleagues, the original creators of the Autism Treatment Survey. The data will be available for Dr. Morrier and colleagues further use in the ongoing research on Evidence-based practice for students with Autism Spectrum Disorder. The informed consent form may be printed from the survey for your records. If you have any questions about your rights as a research participant, complaints about the informed consent process of this research study, or experience with an adverse event (something goes wrong), please contact Bruce Kennedy, Compliance Officer of the California State Polytechnic University Pomona Office of Research at (909) 869-4215. Information about research at Cal Poly is also available at the Cal Poly Pomona IRB website, http://www.cpp.edu/~research/irb/introduction/index.shtml
Researchers: Primary Investigator: Lindsey Denniston Faculty member: Dr. Amy Gimino Associate Doctoral Candidate Professor in the Department of Education Phone #: (951)220-7717 Phone #: (909)869-4915 Email Address: [email protected] Email Address: [email protected]
Doctoral Program in Educational Leadership College of Education and Integrative Studies California State Polytechnic University, Pomona 3800 Temple Ave, Pomona, California 91768 http://www.cpp.edu/~ceis/doctoral-studies/index.shtml
Your participation is entirely voluntary and will contribute greatly to this research. Thank you for your willingness to participate. Survey Link:https://cppedu.az1.qualtrics.com/jfe/form/SV_77HGbjOdRcvjHOR
209
APPENDIX B MODIFIED ATS SURVEY
About Your Class
1. What are the chronological ages of the students in your class this year? (check all that apply)
nd ○ 5 years or younger (preschool/transitional kindergarten) ○ 5-7 years (K-2 grade) ○ rd th th th 8-10 years (3 – 5 grade) -13 ○ 1years 1 (6 – 8 grade)
2. My district calls my class: ○ G eneral Educa the day) Resource ○ C o lla b o ra tiv e -Contained ○ ○ S e l f Autism - ○ O th e r S e lf Contained (please describe) ○ Combination (please describe) ○Other (please describe)
______3. District school in which school is located: ______
4. My class has: _____ children with an Autism Spectrum Disorder this year
______approximate amount of students with Autism Spectrum Disorder previously taught
About You
1. I have been teaching ______years. I have been teaching children with ASD for ___years. 2. My certification category is:
○ preliminary mild/moderate multiple subject ○ clear mild/moderate multiple subject
○ preliminary moderate/severe multiple subject ○ clear moderate/severe multiple subject ○ Other: ______
Please type in an answer that explains your use of evidence-based practices with students with Autism Spectrum Disorder (ASD).
3. How do you define evidence-basedpractices for your students with ASD? Please explain. (Short answer).
Practices
We would like to get a general idea of the specific strategies that you use with children with Autism Spectrum Disorders (ASD) in your classroom. Please indicate whether or not you have used the following treatments in your classroom this school year (since
210
August 2016) and if you believe this practice is an evidence-basedpractice (EBP) “yes”, “no” or “unsure.” For example, if you have used a practice, but believe it is not an EBP you would mark “Yes, I have used it and No, it is not an EBP.” If you have never heard of a practice, you would mark, “no, I have not used it and I am unsure if it is an EBP.”
1. Prompting: When the target stimulus does not provide the response a stimulus that pairs with the target stimulus to provide the desired response. • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP 2. Discrete Trial Teaching: Adult directed trial instruction utilizing reinforcements to teach a skill and/or reinforce a behavior • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP 3. Computer aided instruction/Speech Generating Devices: Use of computers to teacher academic and communication skills; includes computer tutors and modeling. • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP 4. Naturalistic interventions: A variety of strategies that closely resemble typical interactions and occur in natural settings, routines and activities. • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP 5. Task analysis and training: Breaks down steps and links them for prompting. • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP
211
• No, I have not used it and I am Unsure if it is an EBP 6. Exercise: Physical activity preceding activities. • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP 7. Peer mediated instruction:/intervention: The use of peers to initiate and maintain interactions. • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP 8. Parent Implemented: Parents serving as experts to improve children’s functioning in the home environment. • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP 9. Reinforcement (includes differential reinforcement): Purposeful ignoring of undesirable behavior; reinforcing more desirable behaviors. • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP 10. Time delay: Antecedent teaching strategy that promotes errorless learning; teaches skills in the naturalistic environment with a structure in place to increase probability of desired action. • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP 11. Picture Exchange Communication System (PECS): (includes picture making devices such as Boardmaker): Tool to initiate communication exchanges and interactions.
212
• Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP 12. Pivotal Response Training: Use of four variables to increase skill use: motivation, responding to multiple cues, self-management, and self-initiations. • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP 13. Visual Supports (this includes visual schedules): Tools that enable a learner to independently track events and activities. • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP 14. Cognitive Behavioral Intervention (includes Cognitive Learning Strategies, Cognitive Scripts, and Cognitive Behavior Modification): Instruction that leads to control of cognitive process of behavior. • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP 15. Social Stories (Social Narratives): Written narratives that describe specific social situations in some detail. • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP 16. Modeling (does not include video modeling): Live modeling of desired behavior/action. • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP
213
• No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP 17. Video modeling (does not include live model modeling: includes basic video modeling of another, video self-monitoring, point of view video modeling, and video prompting): Utilizes assistive technology as the core component of instruction and allows for modeling. • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP 18. Scripting (SC): Verbal or written description of a model for a specific skill or situation. • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP 19. Extinction: Withdraws or termination of reinforcers • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP 20. Antecedent based interventions: Decrease in interfering behavior and increase engagement by modifications of the environment. • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP 21. Social skills training (groups): Small group instruction with a shared goal or outcome of learned social skills. • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP
214
22. Functional communication training (FCT): Replace inappropriate communication acts with effective communication behaviors/skills. • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP 23. Response interruption/redirecting: The physical prevention or blocking of interfering behavior with redirection to more appropriate behavior. • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP 24. Functional behavioral assessment (FBA): System in which the function of behavior is determined by the use of data collection. • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP 25. Self-management: Methods in which learners are taught to monitor, record data, report on, and reinforce their own behavior. • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP 26. Structured Play Groups: Small group characterized by modeling an activity with specific roles of the adult/teacher to scaffold the activity based on activity goals. • Yes, I have used it and Yes, it is an EBP • Yes, I have used it and No it is not an EBP • Yes, I have used it and I am Unsure if it is an EBP • No, I have not used it and Yes, it is an EBP • No, I have not used it and No it is not an EBP • No, I have not used it and I am Unsure if it is an EBP
215
1. Please list any other practices that you are using in your classroom based on an IEP or parent request. For example, special diets, etc. (short answer) ______
Please indicate your opinions regarding the sources of training you have received.
1. Which source(s) of training have been the most useful? Please explain: ______
2. Which source(s) of training have provided information on the use of EBPs specially geared toward students with ASD? ______
216