The Routledge reviewer's guide to mixed methods analysis
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書誌事項
The Routledge reviewer's guide to mixed methods analysis
Routledge, 2021
- : pbk
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Summary: "The Reviewer's Guide for Mixed Methods Research Analysis is designed for evaluators of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its thirty-three uniquely structured chapters cover both traditional and emerging mixed methods data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The book updates readers on each technique's key principles, appropriate usage, underlying assumptions, and limitations. It thereby assists reviewers in offering constructive commentary on works they evaluate, and also serves as an indispensable author's reference for preparing sound research manuscripts and proposals"--Provided by publisher
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
- 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
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