Anthony J. Onwuegbuzie

Mixed Methods Research: A Research Paradigm Whose Time Has Come

The purposes of this article are to position mixed methods research (mixed research is a synonym) as the natural complement to traditional qualitative and quantitative research, to present pragmatism as offering an attractive philosophical partner for mixed methods research, and to provide a framework for designing and conducting mixed methods research. In doing this, we briefly review the paradigm “wars” and incompatibility thesis, we show some commonalities between quantitative and qualitative research, we explain the tenets of pragmatism, we explain the fundamental principle of mixed research and how to apply it, we provide specific sets of designs for the two major types of mixed methods research (mixed-model designs and mixed-method designs), and, finally, we explain mixed methods research as following (recursively) an eight-step process. A key feature of mixed methods research is its methodological pluralism or eclecticism, which frequently results in superior research (compared to monomethod research). Mixed methods research will be successful as more investigators study and help advance its concepts and as they regularly practice it.

An Array of Qualitative Data Analysis Tools: A Call for Data Analysis Triangulation.

One of the most important steps in the qualitative research process is analysis of data. The purpose of this article is to provide elements for understanding multiple types of qualitative data analysis techniques available and the importance of utilizing more than one type of analysis, thus utilizing data analysis triangulation, in order to understand phenomenon more fully for school psychology research and beyond. The authors describe seven qualitative analysis tools: methods of constant comparison, keywords-in-context, word count, classical content analysis, domain analysis, taxonomic analysis, and componential analysis. Then, the authors outline when to use each type of analysis. In so doing, the authors use real qualitative data to help distinguish the various types of analyses. Furthermore, flowcharts and tables are provided to help delineate when to choose each type of analysis. Finally, the role of computer-assisted software in the qualitative data-analytic process is discussed. As such, use of the analyses outlined in this article should help to promote rigor in qualitative research.

On Becoming a Pragmatic Researcher: The Importance of Combining Quantitative and Qualitative Research Methodologies

The last 100 years have witnessed a fervent debate in the USA about quantitative and qualitative research paradigms. Unfortunately, this has led to a great divide between quantitative and qualitative researchers, who often view themselves as in competition with each other. Clearly, this polarization has promoted purists, namely, researchers who restrict themselves exclusively either to quantitative or to qualitative research methods. Mono‐method research is the biggest threat to the advancement of the social sciences. Indeed, as long as we stay polarized in research, how can we expect stakeholders who rely on our research findings to take our work seriously? Thus, the purpose of this paper is to explore how the debate between quantitative and qualitative is divisive and, hence, counterproductive for advancing the social and behavioural science field. This paper advocates that all graduate students learn to utilize and to appreciate both quantitative and qualitative research. In so doing, students will develop into what we term as pragmatic researchers.

A Qualitative Framework for Collecting and Analyzing Data in Focus Group Research

Despite the abundance of published material on conducting focus groups, scant specific information exists on how to analyze focus group data in social science research. Thus, the authors provide a new qualitative framework for collecting and analyzing focus group data. First, they identify types of data that can be collected during focus groups. Second, they identify the qualitative data analysis techniques best suited for analyzing these data. Third, they introduce what they term as a micro-interlocutor analysis, wherein meticulous information about which participant responds to each question, the order in which each participant responds, response characteristics, the nonverbal communication used, and the like is collected, analyzed, and interpreted. They conceptualize how conversation analysis offers great potential for analyzing focus group data. They believe that their framework goes far beyond analyzing only the verbal communication of focus group participants, thereby increasing the rigor of focus group analyses in social science research.

Statistics Anxiety: Nature, etiology, antecedents, effects, and treatments--a comprehensive review of the literature

Most college students are required to enroll in statistics and quantitative research methodology courses as a necessary part of their degree programmes. Unfortunately, many students report high levels of statistics anxiety while enrolled in these classes. Recent years have seen an increase in the number of articles on statistics anxiety appearing in the literature, as researchers have recognised that statistics anxiety is a multidimensionality construct that has debilitative effects on academic performance. Thus, the purpose of this article is to provide a comprehensive summary of the literature on statistics anxiety. In particular, the nature, etiology, and prevalence of statistics anxiety are described. Additionally, antecedents (i.e. dispositional, situational and environmental) of statistics anxiety are identified, as well as their effects on statistics achievement. Furthermore, existing measures of statistics anxiety are documented. Finally, based on the literature, successful interventions for reducing statistics anxiety are described. Implications for future research are provided.

A Mixed Methods Investigation of Mixed Methods Sampling Designs in Social and Health Science Research.

A sequential design utilizing identical samples was used to classify mixed methods studies via a two-dimensional model, wherein sampling designs were grouped according to the time orientation of each studys components and the relationship of the qualitative and quantitative samples. A quantitative analysis of 121 studies representing nine fields in the social or health sciences revealed that more studies utilized a sampling design that was concurrent (66.1%) than sequential (33.9%). Also, identical sampling designs were the most prevalent, followed by nested sampling, multilevel sampling, and parallel sampling, respectively. Qualitative analysis suggested that across a number of studies the researchers made statistical generalizations that were not sufficiently warranted—culminating in interpretive inconsistency and contributing to crises of representation, legitimation, integration, and politics.

Factors associated with foreign language anxiety

Foreign language anxiety is a complex phenomenon that has been found to be a predictor of foreign language achievement. This study of 210 university students examined factors that predict 1 foreign language anxiety. A setwise multiple regression analysis revealed that seven variables (i.e., age, academic achievement, prior history of visiting foreign countries, prior high school experience with foreign languages, expected overall average for current language course, perceived scholastic competence, and perceived self-worth) contributed significantly to the prediction of foreign language anxiety. An analysis of variance, which included trend analysis, revealed that freshmen and sophomores reported the lowest levels of foreign language anxiety, and that anxiety levels increased linearly as a function of year of study. The educational implications of these findings for understanding foreign language anxiety and for increasing foreign language learning are discussed, as are suggestions for future research.

Academic procrastination and statistics anxiety

Statistics anxiety, which is experienced by as many as 80% of graduate students, has been found to debilitate performance in statistics and research methodology courses. As such, it is likely that statistics anxiety is, in part, responsible for many students delaying enrollment in these courses for as long as possible. Moreover, it is possible that, once enrolled in these courses, students with high levels of statistics anxiety tend to procrastinate on assignments. Thus, the purpose of this study was: (a) to examine the prevalence of procrastination among graduate students, and (b) to investigate the relationship between academic procrastination and six dimensions of statistics anxiety. Participants were 135 graduate students enrolled in three sections of a required introductory-level educational research course at a university in the southeastern part of the USA. Findings revealed that a high percentage of students reported problems with procrastination on writing term papers, studying for examinations, and completing weekly reading assignments. A canonical correlation analysis (R c1 =.51) revealed that academic procrastination resulting from both fear of failure and task aversiveness was related significantly to worth of statistics, interpretation anxiety, test and class anxiety, computational self-concept, fear of asking for help, and fear of the statistics instructor. Implications for statistics anxiety reduction as a procrastination intervention are discussed.

Writing a research proposal: The role of library anxiety, statistics anxiety, and composition anxiety

A machine and method for preparing the surface and waxing vehicles. The machine has an improved head construction comprising a plurality of pads of a heavy wool and Orlon fabric fastened at their inner ends to a rotating shaft and slit inwardly on 21/2 inch centers from their outer edges for a distance of 12 inches. The strips formed each overlap two strips on each adjacent sheet. Wax is applied to the surface at 185-190 rpm while traversing the vehicle at 5.5 - 6.0 feet per minute. A first traversal end to end and return with the wax still moist cleans the surface grime and oxidized paint off. A second traversal end to end and return then buffs dried wax to a high gloss finish.

Students’ Perceptions of Characteristics of Effective College Teachers: A Validity Study of a Teaching Evaluation Form Using a Mixed-Methods Analysis:

This study used a multistage mixed-methods analysis to assess the content-related validity (i.e., item validity, sampling validity) and construct-related validity (i.e., substantive validity, structural validity, outcome validity, generalizability) of a teaching evaluation form (TEF) by examining students’ perceptions of characteristics of effective college teachers. Participants were 912 undergraduate and graduate students (10.7% of student body) from various academic majors enrolled at a public university. A sequential mixed-methods analysis led to the development of the CARE-RESPECTED Model of Teaching Evaluation, which represented characteristics that students considered to reflect effective college teaching—comprising four meta-themes (communicator, advocate, responsible, empowering) and nine themes (responsive, enthusiast, student centered, professional, expert, connector, transmitter, ethical, and director). Three of the most prevalent themes were not represented by any of the TEF items; also, endorsement of most themes varied by student attribute (e.g., gender, age), calling into question the content- and construct-related validity of the TEF scores.