1st Edition

The Routledge Reviewer’s Guide to Mixed Methods Analysis

Edited By Anthony J. Onwuegbuzie, R. Burke Johnson Copyright 2021
    406 Pages 122 B/W Illustrations
    by Routledge

    406 Pages 122 B/W Illustrations
    by Routledge

    The Routledge Reviewer’s Guide to Mixed Methods Analysis is a groundbreaking edited book – the first devoted solely to mixed methods research analyses, or mixed analyses. Each of the 30 seminal chapters, authored by internationally renowned scholars, provides a simple and practical introduction to a method of mixed analysis.

    Each chapter demonstrates "how to conduct the analysis" in easy-to-understand language. Many of the chapters present new topics that have never been written before, and all chapters offer cutting-edge approaches to analysis. The book contains the following four sections: Part I Quantitative Approaches to Qualitative Data (e.g., factor analysis of text, multidimensional scaling of qualitative data); Part II Qualitative Approaches to Quantitative Data (e.g., qualitizing data, mixed methodological discourse analysis); Part III "Inherently" Mixed Analysis Approaches (e.g., qualitative comparative analysis, mixed methods social network analysis, social media analytics as mixed analysis, GIS as mixed analysis); and Part IV Use of Software for Mixed Data Analysis (e.g., QDA Miner, WordStat, MAXQDA, NVivo, SPSS).

    The audience for this book includes (a) researchers, evaluators, and practitioners who conduct a variety of research projects and who are interested in using innovative analyses that will allow them to extract more from their data; (b) academics, including faculty who would use this book in their scholarship, as well as in their graduate-level courses, and graduate students who need access to a comprehensive set of mixed analysis tools for their dissertations/theses and other research assignments and projects; and (c) computer-assisted data analysis software developers who are seeking additional mixed analyses to include within their software programs.

    Chapter 24 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license. 

    1. Mapping the Emerging Landscape of Mixed Analysis

    Anthony J. Onwuegbuzie and R. Burke Johnson

    Part I: Quantitative Approaches to Qualitative Data

    2. Exploratory Factor Analysis of Text

    Jim Van Haneghan

    3. Correspondence Analysis of Qualitative Data

    Wendy Dickinson

    4. Multidimensional Scaling of Qualitative Data

    Ahmet Suerdem

    5. Cluster Analysis for Mixed Methods Research

    Normand Péladeau

    6. Chi-Square Automatic Interaction Detection Analysis of Qualitative Data

    Kathleen M. T. Collins

    7. Multiple Linear Regression Analysis with Qualitative Data that Have Been Quantitized

    Kyle Cox, Richard Lambert, and John H. Hitchcock

    8. Structural Equation Modeling with Qualitative Data that Have Been Quantitized

    David Newman and Shannon Constantinides

    9. Hierarchical Linear Modeling with Qualitative Data that Have Been Quantitized

    John H. Hitchcock, Richard Lambert, and T. Scott Holcomb

    10. Bayesian Analyses with Qualitative Data

    Prathiba Natesan Batley

    11. Item Response Theory Integrating Qualitative Data

    Vanessa Scherman and Linda Liebenberg

    12. Diachronic Analysis of Qualitative Data

    M. Teresa Anguera, Mariona Portell, Antonio Hernández-Mendo, Pedro Sánchez-Algarra, and Gudberg K. Jonsson

    Part II: Qualitative Approaches to Quantitative Data

    13. Qualitizing Data

    Anthony J. Onwuegbuzie and Nancy L. Leech

    14. Coding Techniques for Quantitative and Mixed Data

    Johnny Saldaña

    15. Mixed Methodological Discourse Analysis

    Zsuzsanna Géring

    Part III: "Inherently" Mixed Analysis Approaches

    16. Ethnographic Decision Models with Qualitative Data: A thoroughly Mixed Method

    Gery W. Ryan and H. Russell Bernard

    17. Qualitative Comparative Analysis (QCA): An Integrative Approach Suited for Diverse Mixed Methods and Multimethod research strategies

    Benoît Rihoux, Priscilla Álamos-Concha, and Bojana Lobe

    18. Q Methodology as Mixed Analysis

    Susan Ramlo

    19. Social Network Analysis as Mixed Analysis

    Dominik Fröhlich and Jasperina Brouwer

    20. Social Media Analytics as Mixed Analysis

    Tom Liam Lynch and Hannah R. Gerber

    21. Geographic Information Systems as Mixed Analysis

    Nigel G. Fielding and Joan Miquel Verd

    22. Nonverbal Communication Analysis as Mixed Analysis

    Anthony J. Onwuegbuzie and Sandra Schamroth Abrams

    23. Development of a Joint Display as a Mixed Analysis

    Michael D. Fetters and Timothy C. Guetterman

    24. The Case Comparison Table: A Joint Display for Constructing and Sorting Simple Tables as Mixed Analysis

    Judith Schoonenboom and R. Burke Johnson

    Part IV: Use of Software for Mixed Analysis

    25. Mixing Beyond Mixed Methods: QDA Miner, SimStat and WordStat

    Normand Péladeau

    26. Using MAXQDA for Mixed Methods Research

    Udo Kuckartz and Stefan Rädiker

    27. Introduction to Dedoose for Mixed Analysis

    Eli Lieber, Michelle Salmona and Dan Kaczynski

    28. Introduction to ATLAS.ti for Mixed Analysis

    Brigitte Smit

    29. Using NVivo for Mixed Methods Research

    Pat Bazeley

    30. Introduction to SPSS for Mixed Analysis

    Nancy L. Leech


    Anthony J. Onwuegbuzie holds the following positions: Senior Research Associate, Faculty of Education, University of Cambridge, England; Distinguished Visiting Professor, Department of Educational Leadership and Management/Department of Educational Psychology, University of Johannesburg, Johannesburg, South Africa; Honorary Professor, University of South Africa; Visiting Senior Scholar, St. John’s University, New York; and Honorary Recognised Supervisor (Online), School of Histories, Languages and Cultures, University of Liverpool. He writes extensively on qualitative, quantitative, and mixed methodological topics. With an h-index of 100, he has had published more than 500 works, including more than 350 journal articles, 60 book chapters, and six books. He has delivered more than 1,000 presentations, 250 methodological workshops, and 60 keynote addresses worldwide.

    R. Burke Johnson (PhD, University of Georgia, Research, Evaluation, Measurement, and Statistics Program) is a Professor in the Department of Counseling and Instructional Sciences, University of South Alabama. He has graduate degrees in methodology, psychology, sociology, and public policy, which give him a multidisciplinary perspective on research methodology. He is coauthor/coeditor of nine books.