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.
Author(s): Anthony J. Onwuegbuzie, R. Burke Johnson
Publisher: Routledge
Year: 2021
Cover
Half Title
Title Page
Copyright Page
Contents
List of Figures and Tables
List of Contributors
1. Mapping the Emerging Landscape of Mixed Analysis
Part I: Quantitative Approaches to Qualitative Data
2. Exploratory Factor Analysis of Text
3. Correspondence Analysis of Qualitative Data
4. Multidimensional Scaling of Qualitative Data
5. Cluster Analysis for Mixed Methods Research
6. Chi-Square Automatic Interaction Detection Analysis of Qualitative Data
7. Multiple Linear Regression Analysis with Qualitative Data that Have Been Quantitized
8. Structural Equation Modeling with Qualitative Data that Have Been Quantitized
9. Hierarchical Linear Modeling with Qualitative Data that Have Been Quantitized
10. Bayesian Analyses with Qualitative Data
11. Item Response Theory Integrating Qualitative Data
12. Diachronic Analysis of Qualitative Data
Part II: Qualitative Approaches to Quantitative Data
13. Qualitizing Data
14. Coding Techniques for Quantitative and Mixed Data
15. Mixed Methodological Discourse Analysis
Part III: “Inherently” Mixed Analysis Approaches
16. Ethnographic Decision Models with Qualitative Data: A Thoroughly Mixed Method
17. Qualitative Comparative Analysis (QCA): An Integrative Approach Suited for Diverse Mixed Methods and Multimethod Research Strategies
18. Q Methodology as Mixed Analysis
19. Social Network Analysis as Mixed Analysis
20. Social Media Analytics as Mixed Analysis
21. Geographic Information Systems as Mixed Analysis
22. Nonverbal Communication Analysis as Mixed Analysis
23. Development of a Joint Display as a Mixed Analysis
24. The Case Comparison Table: A Joint Display for Constructing and Sorting Simple Tables as Mixed Analysis
Part IV: Use of Software for Mixed Analysis
25. Mixing Beyond Mixed Methods: QDA Miner, SimStat, and WordStat
26. Using MAXQDA for Mixed Methods Research
27. Introduction to Dedoose for Mixed Analysis
28. Introduction to ATLAS.ti for Mixed Analysis
29. Using NVivo for Mixed Methods Research
30. Introduction to SPSS for Mixed Analysis
Index
