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On Becoming a Pragmatic Researcher: the Importance of Combining Quantitative and Qualitative Research Methodologies
DOCUMENT RESUME ED 482 462 TM 035 389 AUTHOR Onwuegbuzie, Anthony J.; Leech, Nancy L. TITLE On Becoming a Pragmatic Researcher: The Importance of Combining Quantitative and Qualitative Research Methodologies. PUB DATE 2003-11-00 NOTE 25p.; Paper presented at the Annual Meeting of the Mid-South Educational Research Association (Biloxi, MS, November 5-7, 2003). PUB TYPE Reports Descriptive (141) Speeches/Meeting Papers (150) EDRS PRICE EDRS Price MF01/PCO2 Plus Postage. DESCRIPTORS *Pragmatics; *Qualitative Research; *Research Methodology; *Researchers ABSTRACT The last 100 years have witnessed a fervent debate in the United States about quantitative and qualitative research paradigms. Unfortunately, this has led to a great divide between quantitative and qualitative researchers, who often view themselves in competition with each other. Clearly, this polarization has promoted purists, i.e., researchers who restrict themselves exclusively to either quantitative or qualitative research methods. Mono-method research is the biggest threat to the advancement of the social sciences. As long as researchers stay polarized in research they cannot expect stakeholders who rely on their research findings to take their work seriously. The purpose of this paper is to explore how the debate between quantitative and qualitative is divisive, and thus counterproductive for advancing the social and behavioral science field. This paper advocates that all graduate students learn to use and appreciate both quantitative and qualitative research. In so doing, students will develop into what is termed "pragmatic researchers." (Contains 41 references.) (Author/SLD) Reproductions supplied by EDRS are the best that can be made from the original document. On Becoming a Pragmatic Researcher 1 Running head: ON BECOMING A PRAGMATIC RESEARCHER U.S. -
Descriptive AI Ethics: Collecting and Understanding the Public Opinion
Descriptive AI Ethics: Collecting and Understanding the Public Opinion GABRIEL LIMA, School of Computing, KAIST and Data Science Group, IBS, Republic of Korea MEEYOUNG CHA, Data Science Group, IBS and School of Computing, KAIST, Republic of Korea There is a growing need for data-driven research efforts on how the public perceives the ethical, moral, and legal issues of autonomous AI systems. The current debate on the responsibility gap posed by these systems is one such example. This work proposes a mixed AI ethics model that allows normative and descriptive research to complement each other, by aiding scholarly discussion with data gathered from the public. We discuss its implications on bridging the gap between optimistic and pessimistic views towards AI systems’ deployment. 1 INTRODUCTION In light of the significant changes artificial intelligence (AI) systems bring to society, many scholars discuss whether and how their influence can be positive and negative [21]. As we start to encounter AI systems in various morally and legally salient environments, some have begun to explore how the current responsibility ascription practices might be adapted to meet such new technologies [19, 33]. A critical viewpoint today is that autonomous and self-learning AI systems pose a so-called responsibility gap [27]. These systems’ autonomy challenges human control over them [13], while their adaptability leads to unpredictability. Hence, it might infeasible to trace back responsibility to a specific entity if these systems cause any harm. Considering responsibility practices as the adoption of certain attitudes towards an agent [40], scholarly work has also posed the question of whether AI systems are appropriate subjects of such practices [15, 29, 37] — e.g., they might “have a body to kick,” yet they “have no soul to damn” [4]. -
Education Quarterly Reviews
Education Quarterly Reviews Allanson, Patricia E., and Notar, Charles E. (2020), Statistics as Measurement: 4 Scales/Levels of Measurement. In: Education Quarterly Reviews, Vol.3, No.3, 375-385. ISSN 2621-5799 DOI: 10.31014/aior.1993.03.03.146 The online version of this article can be found at: https://www.asianinstituteofresearch.org/ Published by: The Asian Institute of Research The Education Quarterly Reviews is an Open Access publication. It May be read, copied, and distributed free of charge according to the conditions of the Creative ComMons Attribution 4.0 International license. The Asian Institute of Research Education Quarterly Reviews is a peer-reviewed International Journal. The journal covers scholarly articles in the fields of education, linguistics, literature, educational theory, research, and methodologies, curriculum, elementary and secondary education, higher education, foreign language education, teaching and learning, teacher education, education of special groups, and other fields of study related to education. As the journal is Open Access, it ensures high visibility and the increase of citations for all research articles published. The Education Quarterly Reviews aiMs to facilitate scholarly work on recent theoretical and practical aspects of education. The Asian Institute of Research Education Quarterly Reviews Vol.3, No.3, 2020: 375-385 ISSN 2621-5799 Copyright © The Author(s). All Rights Reserved DOI: 10.31014/aior.1993.03.03.146 Statistics as Measurement: 4 Scales/Levels of Measurement 1 2 Patricia E. Allanson , Charles E. Notar 1 Liberty University 2 Jacksonville State University. EMail: [email protected] (EMeritus) Abstract This article discusses the basics of the “4 scales of MeasureMent” and how they are applicable to research or everyday tools of life. -
Introduction
1 Introduction he field of public health has never been as widely known or popular as T in recent years. On a global scale, the spread of HIV/AIDS beginning in the 1980s gave public health enormous impetus and visibility. Much like infectious diseases from earlier eras, HIV/AIDS was deeply enmeshed in environmental and behavioral contexts. If left unaddressed, the disease promised to engulf large portions of the world’s population. Yet today’s most enduring and pervasive public health problems are far more mundane, e.g., poor sanitation and water quality, malnutrition, and the everyday violence of grinding poverty. The 20th-century reign of the germ theory of disease etiology, with its emphasis on curing over preven- tion and laboratories over communities, has been tempered by these real- ities and by the vast increase in chronic diseases such as hypertension, diabetes, and cancer. Similarly, the dominance of quantification, in which ever-more sophisticated measures and statistics are expected to capture the full range of human experience, has given way to a more nuanced and thoughtful matching of methods with the problem at hand as well as with the people and places experiencing it (Baum, 1996; Rapkin & Trickett, 2005). Enter Qualitative Methods A colleague once astutely remarked that virtually anyone can read and appreciate qualitative research—its narrative reporting style makes it appear easy to carry out. By comparison, a quantitative study relies on complicated 1 2 QUALITATIVE AND MIXED METHODS IN PUBLIC HEALTH statistical analyses that require prior knowledge to decode their meaning. Yet the appealing end product of a qualitative study represents the culmi- nation of intense involvement and intellectual labor. -
The Role of Qualitative Research in Science Education
Eurasia Journal of Mathematics, Science & Technology Education, 2010, 6(1), 77-84 The Role of Qualitative Research in Science Education Iztok Devetak, Saša A. Glažar and Janez Vogrinc University of Ljubljana, Ljubljana, SLOVENIA Received 22 October 2008; accepted 21 January 2009 In the paper the qualitative research in which the researcher has been directly involved, and has himself been examining the research phenomenon in the studied environment, is presented. The aim of this qualitative study is to gather data in the form of rich content– based descriptions of people, events, and situations by using different, especially non– structural, techniques to discover the stakeholders’ views and similar, to orally analyze the gathered data, and finally to interpret the findings in the form of a concept or contextually dependent grounded theory. The main purpose of the paper is to identify research approaches used by authors who have published in respected international science education journals in the last three years. It can be concluded from the results that authors have been using qualitative and mixed research approaches in more than half of the published papers in the last three years in order to address the research questions in their studies. Keywords: Qualitative research, Science education, Document analysis, Journal analysis. INTRODUCTION should also give some clear answers or - in other words - should have a clear »take home« message (Bunce, Authors who publish papers in respected science 2008). education research journals always try to make some Research problems and research questions provide efforts to bridge the gap between science education an important guideline for the researcher in selecting the research results and conclusions and their applications appropriate research methodology or methods designs: in the educational process at all levels of education. -
Levels of Measurement and Types of Variables
01-Warner-45165.qxd 8/13/2007 4:52 PM Page 6 6—— CHAPTER 1 evaluate the potential generalizability of research results based on convenience samples. It is possible to imagine a hypothetical population—that is, a larger group of people that is similar in many ways to the participants who were included in the convenience sample—and to make cautious inferences about this hypothetical population based on the responses of the sample. Campbell suggested that researchers evaluate the degree of similarity between a sample and hypothetical populations of interest and limit general- izations to hypothetical populations that are similar to the sample of participants actually included in the study. If the convenience sample consists of 50 Corinth College students who are between the ages of 18 and 22 and mostly of Northern European family back- ground, it might be reasonable to argue (cautiously, of course) that the results of this study potentially apply to a hypothetical broader population of 18- to 22-year-old U.S.col- lege students who come from similar ethnic or cultural backgrounds. This hypothetical population—all U.S.college students between 18 and 22 years from a Northern European family background—has a composition fairly similar to the composition of the conve- nience sample. It would be questionable to generalize about response to caffeine for pop- ulations that have drastically different characteristics from the members of the sample (such as persons who are older than age 50 or who have health problems that members of the convenience sample do not have). Generalization of results beyond a sample to make inferences about a broader popula- tion is always risky, so researchers should be cautious in making generalizations. -
An Invitation to Qualitative Research
CHAPTER 1 An Invitation to Qualitative Research n recent years, binge drinking has caused considerable concern among admin - istrators at colleges and universities, compelled by statistics that show marked Iincreases in such behavior. A qualitative researcher studying this topic would seek to go behind the statistics to understand the issue. Recently, we attended a fac - ulty meeting that addressed the problem of binge drinking and heard concerned faculty and administrators suggest some of the following solutions: • stricter campus policies with enforced consequences • more faculty-student socials with alcohol for those over 21 years old • more bus trips into the city to local sites such as major museums to get students interested in other pastimes Although well-intentioned, these folks were grasping at straws. This is because although they were armed with statistics indicating binge drinking was prevalent and thus could identify a problem, they had no information about why this trend was occurring. Without understanding this issue on a meaningful level, it is diffi - cult to remedy. At this point, we invite you to spend 5 to 10 minutes jotting down a list of questions you think are important to investigate as we try to better under - stand the phenomenon of binge drinking at college. What Is Qualitative Research? The qualitative approach to research is a unique grounding—the position from which to conduct research—that fosters particular ways of asking questions and particular ways of thinking through problems. As noted in the opening dis - cussion of binge drinking in college, the questions asked in this type of research usually begin with words like how, why, or what. -
Importance of Survey Research
Introduction to Survey Research Melissa Martin, The Nelson Report, 2020 It is not uncommon for people to doubt the results of a survey, unless they feel confident the survey was done “scientifically.” A survey that has gone through the steps of the scientific process poses a higher percentage of validity and reliability of the results. Rarely, can every member of a population be studied because it is cost prohibitive. Public opinion survey research is the most efficient method for collecting information about a large group of people. A researcher is able to collect the opinions, perceptions and observations of a small, representative subset of a population in order to generalize to the whole. Communities want to feel heard by their public entities and local representatives. Valid survey research is a valuable and powerful tool because it enables a public entity to solicit opinions from community members they may not otherwise communicate with on a regular basis. It is important to keep in mind, however, that surveys can be a two edged sword. On one hand, when they are conducted with the intention of using the results to formulate a proposal that is reflective the community’s input and priorities, it can foster a greater level of trust and goodwill and increase the likelihood of support for that public entity. On the other hand, when surveys are conducted with a proposal already in mind with no intention of altering that proposal to reflect the community’s input and priorities, it can foster resentment and mistrust that can be very difficult to overcome. -
Chapter 1 Getting Started Section 1.1
Chapter 1 Getting Started Section 1.1 1. (a) The variable is the response regarding frequency of eating at fast-food restaurants. (b) The variable is qualitative. The categories are the number of times one eats in fast-food restaurants. (c) The implied population is responses for all adults in the U.S. 3. (a) The variable is student fees. (b) The variable is quantitative because arithmetic operations can be applied to the fee values. (c) The implied population is student fees at all colleges and universities in the U.S. 5. (a) The variable is the time interval between check arrival and clearance. (b) The variable is quantitative because arithmetic operations can be applied to the time intervals. (c) The implied population is the time interval between check arrival and clearance for all companies in the five-state region. 7. (a) Length of time to complete an exam is a ratio level of measurement. The data may be arranged in order, differences and ratios are meaningful, and a time of 0 is the starting point for all measurements. (b) Time of first class is an interval level of measurement. The data may be arranged in order and differences are meaningful. (c) Class categories is a nominal level of measurement. The data consists of names only. (d) Course evaluation scale is an ordinal level of measurement. The data may be arranged in order. (e) Score on last exam is a ratio level of measurement. The data may be arranged in order, differences and ratios are meaningful, and a score of 0 is the starting point for all measurements. -
Mixed Methods Research Approaches:Warrant Consideration Phenomena in Themethodological Thirdmovementon the Humanities Sciences
IOSR Journal Of Humanities And Social Science (IOSR-JHSS) Volume 20, Issue 11, Ver. II (Nov. 2015) PP 21-28 e-ISSN: 2279-0837, p-ISSN: 2279-0845. www.iosrjournals.org Mixed Methods Research Approaches:Warrant Consideration Phenomena in theMethodological ThirdMovementon the Humanities Sciences Kamal koohi Assistant Professor of Institute ofSocial Research, University of Tabriz Abstract:Today, Dramatic changes and transformations has happened in theories sociology similar to other areas.We have seen in recent sociological theories emerging paradigms of integrated. Social research methods are not exempt from this rule. Simplification of complex social problems cannot be easily by a deterministic selection approach to both qualitative and quantitative methods. Therefore, since the condition of today's postmodern discourse of diversity technique, Selection mixed research approach is a methodological necessity in the social sciences. Today, the simultaneous use of both quantitative and qualitative methods is justified.As mentioned, the mixed researchapproach qualitative and quantitative methods are combined by each other.The main objective of this paper is to introduce integrated research approach and review of advantage and disadvantage mentioned method. It is expected that using this approach contribute to overcome the shortcomings of positivistic hard and soft humanistic Blumer. Because the main idea of mixed researchapproach is to combine of qualitative and quantitative approaches,more appropriate and comprehensive understanding is obtained of topic. Keywords:Mixed ResearchApproach, Third Movement ofMethodological, Qualitative Method and Quantitative Method. I. Introduction In the present age, significant changes has occurred in sociological theory and paradigm as a researcher thought and action guidance ( the entire process of research ). -
How to Plan and Perform a Qualitative Study Using Content Analysis
NursingPlus Open 2 (2016) 8–14 Contents lists available at ScienceDirect NursingPlus Open journal homepage: www.elsevier.com/locate/npls Research article How to plan and perform a qualitative study using content analysis Mariette Bengtsson Faculty of Health and Society, Department of Care Science, Malmö University, SE 20506 Malmö, Sweden article info abstract Article history: This paper describes the research process – from planning to presentation, with the emphasis on Received 15 September 2015 credibility throughout the whole process – when the methodology of qualitative content analysis is Received in revised form chosen in a qualitative study. The groundwork for the credibility initiates when the planning of the study 24 January 2016 begins. External and internal resources have to be identified, and the researcher must consider his or her Accepted 29 January 2016 experience of the phenomenon to be studied in order to minimize any bias of his/her own influence. The purpose of content analysis is to organize and elicit meaning from the data collected and to draw realistic Keywords: conclusions from it. The researcher must choose whether the analysis should be of a broad surface Content analysis structure (a manifest analysis) or of a deep structure (a latent analysis). Four distinct main stages are Credibility described in this paper: the decontextualisation, the recontextualisation, the categorization, and the Qualitative design compilation. This description of qualitative content analysis offers one approach that shows how the Research process general principles of the method can be used. & 2016 The Author. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). -
Appropriate Statistical Analysis for Two Independent Groups of Likert
APPROPRIATE STATISTICAL ANALYSIS FOR TWO INDEPENDENT GROUPS OF LIKERT-TYPE DATA By Boonyasit Warachan Submitted to the Faculty of the College of Arts and Sciences of American University in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy In Mathematics Education Chair: Mary Gray, Ph.D. Monica Jackson, Ph.D. Jun Lu, Ph.D. Dean of the College of Arts and Sciences Date 2011 American University Washington, D.C. 20016 © COPYRIGHT by Boonyasit Warachan 2011 ALL RIGHTS RESERVED DEDICATION This dissertation is dedicated to my beloved grandfather, Sighto Chankomkhai. APPROPRIATE STATISTICAL ANALYSIS FOR TWO INDEPENDENT GROUPS OF LIKERT-TYPE DATA BY Boonyasit Warachan ABSTRACT The objective of this research was to determine the robustness and statistical power of three different methods for testing the hypothesis that ordinal samples of five and seven Likert categories come from equal populations. The three methods are the two sample t-test with equal variances, the Mann-Whitney test, and the Kolmogorov-Smirnov test. In additional, these methods were employed over a wide range of scenarios with respect to sample size, significance level, effect size, population distribution, and the number of categories of response scale. The data simulations and statistical analyses were performed by using R programming language version 2.13.2. To assess the robustness and power, samples were generated from known distributions and compared. According to returned p-values at different nominal significance levels, empirical error rates and power were computed from the rejection of null hypotheses. Results indicate that the two sample t-test and the Mann-Whitney test were robust for Likert-type data.