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The Routledge Reviewer’s Guide to Mixed Methods Analysis




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ISBN 9781138305274
April 19, 2021 Forthcoming by Routledge
576 Pages 122 B/W Illustrations

 
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Book Description

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.

Table of Contents

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

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Editor(s)

Biography

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 98, he has had published more than 500 works, including more than 350 journal articles, 60 book chapters, and 6 books. He has delivered more than 1,000 presentations, 250 methodological workshops, and 50 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 multiple books.