DEMOGRAPHIC VARIABLES and INTELLIGENCE TEST SCORES in DISABILITY APPLICANTS ROBERT BRUCE CLAPP JR. Bachelor of Science Ohio

Total Page:16

File Type:pdf, Size:1020Kb

DEMOGRAPHIC VARIABLES and INTELLIGENCE TEST SCORES in DISABILITY APPLICANTS ROBERT BRUCE CLAPP JR. Bachelor of Science Ohio DEMOGRAPHIC VARIABLES AND INTELLIGENCE TEST SCORES IN DISABILITY APPLICANTS ROBERT BRUCE CLAPP JR. Bachelor of Science Ohio Dominican University May 1981 Masters of Arts Cleveland State University December, 1989 Educational Specialist in Counseling Cleveland State University December, 2002 Submitted in partial fulfillment of the requirements for the degree DOCTOR OF PHILOSOPHY IN URBAN EDUCATION at the CLEVELAND STATE UNIVERSITY MAY, 2014 © Copyright by Robert Bruce Clapp Jr. 2014 We hereby approve this dissertation of Robert Bruce Clapp Jr. Candidate for the Doctor of Philosophy in Urban Education degree This Dissertation has been approved for the Office of Doctoral Studies, College of Education and Human Services and CLEVELAND STATE UNIVERSITY College of Graduate Studies by: ____________________________________ Dr. Kathryn C. MacCluskie, Committee Chairperson Counseling, Administration, Supervision, and Adult Learning ____________________________________ Dr. Graham B. Stead: Methodologist Curriculum and Foundations ____________________________________ Dr. Sarah M. Toman; Committee Member Counseling, Administration, Supervision, and Adult Learning ____________________________________ Dr. Aaron T. Ellington; Committee Member Counseling, Administration, Supervision, and Adult Learning ____________________________________ Dr. Deborah Koricke; Committee Member Center for Effective Living April 28, 2014 Student’s Date of Defense DEDICATION Reverend Robert Clapp (1924-2011) He taught me how to believe in God; and to believe in our fellow man. ACKNOWLEDGEMENTS To Vanessa, Hannah and Robby Clapp; for their patience during this long, challenging journey. To Drs. Sarah M. Toman and Kathryn C. MacCluskie, for amazing support and patient revising. To Dr. Graham B. Stead Methodologist for his guidance great instruction in the process. To Drs Aaron T. Ellington and Deborah Koricke for their great support in the writing process. To the Center for Effective Living for providing the data and an excellent learning experience. ABSTRACT The American Psychological Association (2012) has published Guidelines for the Assessment of and Intervention with Persons with Disabilities. These guidelines emphasize the importance of recognizing social and cultural diversity for persons with disabilities (guideline 8, p. 49 ) and the need to apply assessment approaches that are “psychometrically sound, fair, comprehensive, and appropriate for clients with disabilities” (guideline 14, p. 52). In addition, the American Association on Intellectual and Developmental Disabilities (AAIDD; 2011) has indicated IQ testing is a major tool in assessing intellectual disability. Also, the Wechsler Adult Intelligence Scale, Fourth Edition (WAIS-IV; Wechsler, 2008) and the Wechsler Intelligence Scale for Children (WISC-IV; Wechsler, 2003) have become two of the most widely used tests in the world for assessing intellectual disability (Chen & Zhu; 2008). Studies on both assessments have focused mainly on people who are generally functioning in the average range of cognitive ability. Among people whose level of functioning is less sophisticated, however, issues related to possible test bias are even more concerning, because their test scores might be even more deleteriously affected by bias than a test-taker whose ability is in the "average" range. To illuminate possible psychometric bias against people with disabilities resulting from cultural differences, this study looks specifically at any differences in the sample between age, gender, and race (specifically Blacks and Whites) as assessed by the WAIS- IV or WISC-IV scores, particularly among people being evaluated for disability benefits. This study seeks to investigate the possible presence of significant correlations between subtest, Index, and Full Scale scores and selected demographic variables. Since the data vi in this archival analysis will be derived from assessments of people who had been referred due to problems resulting from some form of cognitive impairment, the mean test scores fall below “average" scores for the standardization sample, which is considered to be roughly representative of the general U.S. population. Analyses of subscale scores will be conducted to determine whether subtest variability appears to have a significant relationship with any of three demographic variables of age, gender, and race. The purpose of this psychometric analysis is to implement the established practice guidelines in order to help assure the best possible care for persons being assessed for intellectual disability. vii TABLE OF CONTENTS ABSTRACT ....................................................................................................................... vi LIST OF TABLES ............................................................................................................. xi CHAPTER: I. INTRODUCTION AND STATEMENT OF THE PROBLEM ......................... 1 Intelligence ....................................................................................................8 Race .............................................................................................................10 Fairness ........................................................................................................11 Research Hypothesis ...................................................................................14 Summary .....................................................................................................15 II. REVIEW OF THE LITERATURE .................................................................. 16 Disability .....................................................................................................16 Age ..............................................................................................................18 Gender .........................................................................................................20 History of Intelligence Testing and Racial Differences ..............................22 Nature: The Hereditarian Model .................................................................35 Nurture: The Disparity is argued to be from Environmental Causes ..........39 Beyond Nature versus Nurture: Towards a More Complex Understanding .............................................................................................42 Determining Which Scales to Use ...............................................................44 Subscales .....................................................................................................44 Summary .....................................................................................................46 III. RESEARCH METHODOLOGY ..................................................................... 48 viii Research Hypothesis ...................................................................................48 Procedure .....................................................................................................48 Participants ..................................................................................................50 Instruments ..................................................................................................50 WISC-IV ............................................................................................. 50 WAIS-IV ............................................................................................. 53 Analyses ......................................................................................................56 Summary .....................................................................................................57 IV. RESEARCH RESULTS ................................................................................... 58 Introduction .................................................................................................58 Demographics ..............................................................................................59 Analysis of the WISC IV scores for Age, Race, and Gender: Research Hypothesis 1 ................................................................................................61 Full Scale Intelligence Quotient (FSIQ) ............................................. 62 Indices ................................................................................................. 63 Analysis of the WAIS- IV scores for Age, Race, and Gender: Research Hypothesis 2 ................................................................................................65 Full Scale Intelligence Quotient (FSIQ) ............................................. 66 Indices ................................................................................................. 66 Conclusion ...................................................................................................68 V. RESULTS ......................................................................................................... 69 Research Hypotheses ...................................................................................69 First Research Hypothesis................................................................... 69 ix WISC-IV Results ......................................................................... 70 WAIS-IV Results ........................................................................ 70 Discussion ...................................................................................................71 Limitations and Implications for Future Research ......................................74
Recommended publications
  • SOHASKY-DISSERTATION-2017.Pdf (2.074Mb)
    DIFFERENTIAL MINDS: MASS INTELLIGENCE TESTING AND RACE SCIENCE IN THE TWENTIETH CENTURY by Kate E. Sohasky A dissertation submitted to the Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy. Baltimore, Maryland May 9, 2017 © Kate E. Sohasky All Rights Reserved ABSTRACT Historians have argued that race science and eugenics retreated following their discrediting in the wake of the Second World War. Yet if race science and eugenics disappeared, how does one explain their sudden and unexpected reemergence in the form of the neohereditarian work of Arthur Jensen, Richard Herrnstein, and Charles Murray? This dissertation argues that race science and eugenics did not retreat following their discrediting. Rather, race science and eugenics adapted to changing political and social climes, at times entering into states of latency, throughout the twentieth century. The transnational history of mass intelligence testing in the twentieth century demonstrates the longevity of race science and eugenics long after their discrediting. Indeed, the tropes of race science and eugenics persist today in the modern I.Q. controversy, as the dissertation shows. By examining the history of mass intelligence testing in multiple nations, this dissertation presents narrative of the continuity of race science and eugenics throughout the twentieth century. Dissertation Committee: Advisors: Angus Burgin and Ronald G. Walters Readers: Louis Galambos, Nathaniel Comfort, and Adam Sheingate Alternates: François Furstenberg
    [Show full text]
  • Black-White Differences on IQ and Grades: the Mediating Role of Elementary Cognitive Tasks Bryan Pesta Cleveland State University, [email protected]
    Cleveland State University EngagedScholarship@CSU Business Faculty Publications Monte Ahuja College of Business 2008 Black-White Differences on IQ and Grades: The Mediating Role of Elementary Cognitive Tasks Bryan Pesta Cleveland State University, [email protected] Peter J. Poznanski Cleveland State University, [email protected] Follow this and additional works at: https://engagedscholarship.csuohio.edu/bus_facpub Part of the Organizational Behavior and Theory Commons How does access to this work benefit oy u? Let us know! Publisher's Statement NOTICE: this is the author’s version of a work that was accepted for publication in Intelligence/ Science Direct. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Intelligence/ Science Direct, 36, 4, (2008); 10.1016/j.intell.2007.07.004 Original Published Citation Pesta, B., Poznanski, P. (2008). Black-White Differences on IQ and Grades: The eM diating Role of Elementary Cognitive Tasks. Intelligence/ Science Direct, 36(4), pp. 323-329. This Article is brought to you for free and open access by the Monte Ahuja College of Business at EngagedScholarship@CSU. It has been accepted for inclusion in Business Faculty Publications by an authorized administrator of EngagedScholarship@CSU. For more information, please contact [email protected]. shared by variance in IQ. The direction of causality, performance on jobs where the public's safety might be however, and whether third variables explain the at risk (e.g., fire fighters; see te Nijenhuis & van der relationship, remain empirical questions.
    [Show full text]
  • European Journal of Educational Research Volume 9, Issue 3, 1075- 1087
    Research Article doi: 10.12973/eu-jer.9.3.1075 European Journal of Educational Research Volume 9, Issue 3, 1075- 1087. ISSN: 2165-8714 http://www.eu-jer.com/ The Effects of Intelligence, Emotional, Spiritual and Adversity Quotient on the Graduates Quality in Surabaya Shipping Polytechnic Ardhiana Puspitacandri* Warsono Yoyok Soesatyo Politeknik Pelayaran Surabaya, Universitas Negeri Surabaya, INDONESIA Universitas Negeri Surabaya, INDONESIA INDONESIA Erny Roesminingsih Heru Susanto Universitas Negeri Surabaya, INDONESIA Politeknik Pelayaran Surabaya, INDONESIA Received: December 9, 2019 ▪ Revised: January 29, 2020 ▪ Accepted: June 27, 2020 Abstract: This research aims to analyze the effects of intelligence quotient, emotional quotient, spiritual quotient, and adversity quotient on the graduates quality of vocational higher education. Data were collected from 217 cadets at Surabaya Shipping Polytechnic who already took an internship as respondents using stratified cluster random technique. This is a correlational and quantitative study using a questionnaire developed from several existing scales and analyzed using Structural Equation Models (SEM) to determine the path of effects and to create the best structural model of intelligence-based graduates quality (IESA-Q). The results indicate that there are direct and indirect effects of intelligence quotient, emotional quotient, spiritual quotient, and adversity quotient on graduates quality, meaning that each quotient has a positive effect on graduate’s quality. The process to create the professional and ethical quality of Surabaya Shipping Polytechnic graduate is dominated by Emotional Quotient (25,2%) and Spiritual Quotient (21,4%), while Intelligence Quotient (IQ) becomes the support as it effects the development process of all quotients, Emotional Quotient (EQ), Spiritual Quotient (SQ), and also Adversity Quotient (AQ).
    [Show full text]
  • The Estimation of Premorbid Intelligence: a Comparison of Approaches
    Louisiana State University LSU Digital Commons LSU Historical Dissertations and Theses Graduate School 1999 The Estimation of Premorbid Intelligence: a Comparison of Approaches. Peter Anthony Petito Louisiana State University and Agricultural & Mechanical College Follow this and additional works at: https://digitalcommons.lsu.edu/gradschool_disstheses Recommended Citation Petito, Peter Anthony, "The Estimation of Premorbid Intelligence: a Comparison of Approaches." (1999). LSU Historical Dissertations and Theses. 7120. https://digitalcommons.lsu.edu/gradschool_disstheses/7120 This Dissertation is brought to you for free and open access by the Graduate School at LSU Digital Commons. It has been accepted for inclusion in LSU Historical Dissertations and Theses by an authorized administrator of LSU Digital Commons. For more information, please contact [email protected]. INFORMATION TO USERS This manuscript has been reproduced from the microfilm master. UMI films the text directly from the original or copy submitted. Thus, some thesis and dissertation copies are in typewriter face, while others may be from any type of computer printer. The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleedthrough, substandard margins, and improper alignment can adversely affect reproduction. In the unlikely event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion. Oversize materials (e.g., maps, drawings, charts) are reproduced by sectioning the original, beginning at the upper left-hand comer and continuing from left to right in equal sections with small overlaps.
    [Show full text]
  • Athletic Intelligence Quotient (AIQ)? the Athletic Intelligence Quotient (AIQ) Measures Intelligence That Is Most Relevant to Athletic Performance
    What is the Athletic Intelligence Quotient (AIQ)? The Athletic Intelligence Quotient (AIQ) measures intelligence that is most relevant to athletic performance. Conventional IQ tests such as the Wonderlic focus on aspects of intelligence that aren’t relevant to athletes, while missing the most important cognitive abilities that determine athletic success or failure. Plus, the AIQ provides an in-depth and sport specific analysis of each score. The main components of the AIQ are: Reaction Memory Time Visual Processing Processing Speed Athletic Intelligence Why Measure Athletic Intelligence? Physical factors that impact success are relatively easy to measure, while the mental factors are not. AIQ is designed to reduce the guess work. Intelligence is the ability to learn, process, and apply information. Often when analyzing talent, evaluators compare knowledge, not intelligence. The risk of evaluating only knowledge is that knowledge is dependent on the athletes’ experiences (where they went to school, who coached them, what system they ran, etc.). By comparison, intelligence is an innate ability that is essential to skill attainment, decision making, creativity, adaptability, versatility, and the ability to understand and apply tactics and strategy. Some evaluators use personality inventories to identify talent. Unfortunately, personality traits vary in different environments. For instance, how athletes act at practice may be very different from how they act when being evaluated. Additionally, personality tests rely on paper and pencil measures which are dependent on the athletes’ desire to answer the questions honestly. By contrast, intelligence is a stable genetic trait and one of the greatest predictors of success. Furthermore, the AIQ is not a paper and pencil questionnaire, but a series of applied tasks that directly measure the athletes’ abilities.
    [Show full text]
  • S Intelligence?
    Philosophical Psychology, 2018 VOL. 31, NO. 2, 232–252 https://doi.org/10.1080/09515089.2017.1401706 What Kind of Kind IIss Intelligence? Davide Serpico Department of Classics, Philosophy and History, University of Genoa, Italy AbstractAbstract: The model of human intelligence that is most widely adopted derives from psychometrics and behavioral genetics. This standard approach conceives intelligence as a general cognitive ability that is genetically highly heritable and describable using quantitative traits analysis. The paper analyzes intelligence within the debate on natural kinds and contends that the general intelligence conceptualization does not carve psychological nature at its joints. Moreover, I argue that this model assumes an essentialist perspective. As an alternative, I consider an HPC theory of intelligence and evaluate how it deals with essentialism and with intuitions coming from cognitive science. Finally, I highlight some concerns about the HPC model as well, and conclude by suggesting that it is unnecessary to treat intelligence as a kind in any sense. Keywords : Intelligence; IQ; g Factor; Natural Kinds; Homeostatic Property Cluster; Essentialism; Psychometrics; Behavioral Genetics; Heritability Introduction Although the concept of intelligence is shrouded in controversy, it is nonetheless widely used both in psychological and in folk settings. Several theories have been proposed in order to clarify whether intelligence can be conceived as a general ability or only as a bundle of distinct cognitive phenomena. Several criticisms have been raised against a strong interpretation of genetic data based on the well-known intelligence quotient (IQ). Several attempts have been made to find more comprehensive definitions of intelligence. After a century of research, there is still extensive debate going on about the status of intelligence.
    [Show full text]
  • “Scientific” Racism and the Evidence on Race and Intelligence
    ANDREW M. COLMAN 'Scientific' Racism and the Evidence on Race and Intelligencea In his recent book, Race, Intelligence and Education,b H. J. Eysenck has written: 'I would be prepared to assert that experts (real experts, that is) would agree with at least 90 per cent of what I am going to say-probably the true figure would be a good deal higher, but there is no point in exaggerating' (p. 15). The major thesis which his book sought to establish was that 'all the evidence to date suggests the strong and indeed over­ whelming importance of genetic factors in producing the great variety of intellectual differences which we observe in our culture, and much of the difference observed between certain racial groups' (p. 130). This latter assertion is demonstrably false, as will become apparent, since 'all the evidence to date' does not speak with one voice. The thesis contains two latent propositions: (a) that intellectual differences among people in our culture are overwhelmingly determined by genetic factors, and (b) that the 15-point mean I.Q. gap between black and white Americans is largely determined by genetic factors. This paper centres on the second proposi­ tion, which (as will be demonstrated) is logically and empirically inde­ pendent of the first, although the vital distinction has recently been blurred by A. R. Jensen (1969)C and subsequently by Eysenck in the quotation above, and throughout his book, which draws heavily on Jensen's controversial paper. Eysenck's claims concerning the consensus of the 'experts' have been widely interpreted as implying that there is general agreement with him on the crucial second proposition concerning race and intelligence.
    [Show full text]
  • A Race-And-IQ Research Dilemma Abstract Most Researchers
    Edugenics: A race-and-IQ research dilemma Abstract Most researchers agree it is socially harmful to research so-called inter-racial IQ variation. Edugenics, an emerging educational technology, may do social harm by racialising education: We cannot know if it will without researching so-called inter-racial IQ variation. Edugenics Behavioural geneticists research human trait variation. Following the mapping of the human genome, researchers analyse Genome Wide Association Surveys (GWASs),1 observe how sub-gene data known as Single Nucleotide Polymorphisms (SNPs)2 interact with each other and with the environment, and seek to discern polygenic effects in humans.3 Some say they are increasingly able to predict, on a probabilistic basis, traits in the individual such as such as IQ4 and GRIT5 which have significant effects upon learning proclivities and other life outcomes. Some of these researchers argue for the application of their research to general education. They advocate the use of universal DNA, supplemented by regular IQ, testing in order to facilitate the creation and maintenance of students’ “personalised learning” programmes.6 Other possible future applications for this technology include human embryo selection7 and genetic engineering.8 This short discussion paper uses the term edugenics to refer to such potential applied research. The term is intended to have a cautionary effect rooted in the principle of dual-use technological risk as employed in defence equipment export regimes.9 The notions of embryo selection and genetic engineering
    [Show full text]
  • ED 108 059 CG 009 876 White IQ Versus Black Intelligence
    DOCUMENT RESUME . ED 108 059 CG 009 876 AUTHOR Edwards, Thomas O. TITLE White I.Q. Versus Black Intelligence. PUB DATE [73] NOTE 19p. EDRS PRICE NF -$0.76 BC-$1.58 PLUS POSTAGE DESCRIPTORS Environmental Influences; Heredity;. Intellectual Development; *Intelligence Quotient; *Intelligence Tests; Literature RdViews; *Nature Nurture Controversy; *Negroes; *Racial Differences; Racism IDENTIFIERS *Jensen(Arthur) ABSTRACT This paper discusses the nature-nurture controversy concerning the origins mental abilities. Specifically, the author looks at the viewpoint ofrthur Jensen and critically examines his work. This paper presents anverview of Jensenes position followed by a discussion of shortcoming ,411 his methodology and research techniques. The author severely criticizes Jensen's failure to define terms to reduce ambiguity. The paper then critically describes Jenseneseliance on present intelligence testing methods. The manner in which ,ensen uses the term, "race", is explored. His use of the cconcept4'ace and intelligence" is also discussed. The author concludes that Jenset is advocating "the genetic fallacy", and that those with a racist philosophy can use the Jensen argument to justify their position. The writer further concludes that-Jensen has been generally unscientific and irresponsible in formulating his assumptions. (Author/BW) ,cz - *******4************************************************************** Documents acquired by ERIC include many informal unpublished * materials not available from other sources. ERIC makes every effort * * to obtain the best copy available. nevertheless, items of marginal * * reproducibility are orten encountered and this affects the quality * * of the microfiche and hardcopy reproductions ERIC Makes available * * via the ERIC Document Reproduction Service (EDRS). EDRS is not * responsible for the quality of the original document. ReproducO.ons ** * supplied by EDRS are the best that can.be made from the originkl: * ********************************************************************** 'U.S.
    [Show full text]
  • Racial Ideological Warfare: IQ As a Weapon Luke S
    St. Cloud State University theRepository at St. Cloud State Ethnic and Women's Studies Working Papers Department of Ethnic and Women's Studies 6-1995 Racial Ideological Warfare: IQ as a Weapon Luke S. Tripp St. Cloud State University, [email protected] Follow this and additional works at: https://repository.stcloudstate.edu/ews_wps Part of the Race and Ethnicity Commons Recommended Citation Tripp, Luke S., "Racial Ideological Warfare: IQ as a Weapon" (1995). Ethnic and Women's Studies Working Papers. 2. https://repository.stcloudstate.edu/ews_wps/2 This Working Paper is brought to you for free and open access by the Department of Ethnic and Women's Studies at theRepository at St. Cloud State. It has been accepted for inclusion in Ethnic and Women's Studies Working Papers by an authorized administrator of theRepository at St. Cloud State. For more information, please contact [email protected]. RACIAL IDEOLOGICAL WARFARE: IQ AS A WEAPON Luke Tripp June 1995 Racial ideological warfare continues in America. This form of warfare is waged primarily against Black people. A major force prosecuting this war is an array of white academics, scholars, intellectuals, and social scientists (Coughlin, 1995; Heller, 1994). Their major premise is that Black people are mentally inferior to all other racial groups, especially the white race. This is the main thrust of The Bell Curve: Intelligence and Class Structure in American Life by Herrnstein and Murray which was ranked 5th on the New York Times Best Seller List on December 25, 1994. Its widespread popularity and appeal, and the accelerated moves of American politics further to the right at all levels of government are concrete indications that America is becoming even more dangerous for Black people.
    [Show full text]
  • IQ Intelligence Tests, "Ethnic Adjustments" and Atkins
    American University Law Review Volume 65 Issue 1 Article 2 2015 IQ Intelligence Tests, "Ethnic Adjustments" and Atkins Robert M. Sanger Santa Barbara College of Law Follow this and additional works at: https://digitalcommons.wcl.american.edu/aulr Part of the Constitutional Law Commons Recommended Citation Sanger, Robert M. (2015) "IQ Intelligence Tests, "Ethnic Adjustments" and Atkins," American University Law Review: Vol. 65 : Iss. 1 , Article 2. Available at: https://digitalcommons.wcl.american.edu/aulr/vol65/iss1/2 This Article is brought to you for free and open access by the Washington College of Law Journals & Law Reviews at Digital Commons @ American University Washington College of Law. It has been accepted for inclusion in American University Law Review by an authorized editor of Digital Commons @ American University Washington College of Law. For more information, please contact [email protected]. IQ Intelligence Tests, "Ethnic Adjustments" and Atkins This article is available in American University Law Review: https://digitalcommons.wcl.american.edu/aulr/vol65/ iss1/2 IQ, INTELLIGENCE TESTS, "ETHNIC ADJUSTMENTS" AND ATKINS ROBERT M. SANGER* In Atkins v. Virginia the U.S. Supreme Court declared that executing the intellectually disabled violated the U.S. Constitution's Eighth Amendment prohibition against cruel and unusual punishment. In Atkins, the Court relied heavily on medical standards, which indicated that individuals with an IQ of approximately or below seventy and who met the other criteria for intellectual disability were ineligiblefor the death penalty. Twelve years later, in Hall v. Florida, the Court evaluated a Floridastatute that created a bright line rule, making anyone whose IQ was above seventy eligible for execution, regardless of otherfactors suggesting the defendant was, despite his IQ score, intellectually disabled.
    [Show full text]
  • US Public Perceptions of an Intelligence Quotient Test Score
    PSW0010.1177/1478929920917843Political Studies ReviewZigerell 917843research-article2020 Article Political Studies Review 1 –16 US Public Perceptions of © The Author(s) 2020 Article reuse guidelines: an Intelligence Quotient sagepub.com/journals-permissions https://doi.org/10.1177/1478929920917843DOI: 10.1177/1478929920917843 Test Score Gap Between journals.sagepub.com/home/psrev Black Americans and White Americans LJ Zigerell Abstract Intelligence quotient (IQ) is a common measure of intelligence that associates with many important life outcomes. Research over several decades has indicated that the average IQ test score among Black Americans is lower than the average IQ test score among White Americans, but in weighted results from a national nonprobability survey, only about 41% of US adults indicated awareness of this IQ gap. Results from a follow-up convenience survey indicated that, in the aggregate, White participants’ rating of White Americans’ average IQ and average intelligence is higher than Blacks Americans’ average IQ test score and average intelligence and was not driven by White participants’ belief in a universal White intellectual superiority. These and other results could have implications regarding the US public’s perceptions about the reasons for Black/White inequality and implications for the use of intelligence stereotype scales as measures of racial prejudice. Keywords intelligence quotient, IQ, intelligence, stereotypes, race, perceptions, inequality Accepted: 17 March 2020 Research has indicated that, on intelligence quotient (IQ) tests designed to measure intelligence, the average IQ test score among Black Americans is lower than the aver- age IQ test score among White Americans (see, for example, Gottfredson, 1997: 14; Herrnstein and Murray, 1994: 276–277; Jensen, 1969: 81; Nisbett, 2005: 303; Roth et al., 2001: 320; Turkheimer et al., 2017).
    [Show full text]