Qualitative comparative analysis in mixed methods research and evaluation
著者
書誌事項
Qualitative comparative analysis in mixed methods research and evaluation
（Mixed methods research series, 6）
Sage, c2020
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注記
Includes bibliographical references (p. 267-277) and index
内容説明・目次
内容説明
Qualitative Comparative Analysis in Mixed Methods Research and Evaluation provides a user-friendly introduction for using Qualitative Comparative Analysis (QCA) as part of a mixed methods approach to research and evaluation. Offering practical, in-depth, and applied guidance for this unique analytic technique that is not provided in any current mixed methods textbook, the chapters of this guide skillfully build upon one another to walk researchers through the steps of QCA in logical order. To enhance and further reinforce learning, authors Leila C. Kahwati and Heather L. Kane provide supportive learning objectives, summaries, and exercises, as well as author-created datasets for use in R via the companion site.
Qualitative Comparative Analysis in Mixed Methods Research and Evaluation is Volume 6 in SAGE's Mixed Methods Research Series.
目次
Editors' Introduction
Preface
Acknowledgments
About the Authors
Chapter 1: Qualitative Comparative Analysis as Part of a Mixed Methods Approach
Overview of Mixed Methods Study Designs
How QCA Compares to Other Quantitative and Qualitative Methods
Underlying Assumptions of Causal Complexity
QCA in Mixed Methods Studies
Overview of the Rest of the Book and Guiding QCA Heuristic
Chapter 2: Overview of QCA Concepts and Terminology
Configural Research Questions
The Concept of Sets
Set Operators and Symbolic Notation
From Concepts to Real-World Application
Chapter 3: Selecting Cases and Choosing Conditions and Outcome
Overview of Case, Condition, and Outcome Selection
Apply Theoretical, Empirical, and Practical Considerations for Selecting Cases
Apply Theoretical, Empirical, and Practical Considerations for Selecting Conditions and Outcomes
Identify Strategies for Optimizing the Number of Cases and Conditions
School Health Features and Academic Performance Example
Chapter 4: Calibrating Sets and Managing Data
Data Types and Sources
Calibration versus Measurement
Types of Calibration and Processes Used
Calibration Examples
Good Calibration Practices and Data Management Strategies
Chapter 5: Analyzing the Data-Initial Analyses
Overview of Analysis
Transform a Data Matrix into a Truth Table
Strategies for Managing Contradictory Truth Table Rows
Revisiting the Data to Manage Contradictory Truth Table Rows
Inspect the Truth Table for Potential Issues
Conduct an Analysis of Necessary Conditions and Combinations of Conditions
Conduct Analysis of Sufficient Conditions and Combinations of Conditions
Chapter 6: Analyzing the Data-Model Analytics
Overview of Model Analytics
Interpret Solution Parameters of Fit
Evaluating Assumptions
Evaluating Assumptions: An Applied Example
Model Ambiguity
Evaluating Model Ambiguity: An Applied Example
Assessing Robustness
Evaluating Robustness: An Applied Example
Iterative Respecification
Chapter 7: Interpreting Results: Within- and Cross-Case Analysis
Overview of Interpretation
Considerations for Conducting Within- and Cross-Case Analysis
Study Aims and Case Selection for Within- and Cross-case Analysis
Example: School health and Wellness Policies and Academic Performance
Chapter 8: Advanced Topics in QCA
Multi-value QCA
Incorporating Time in QCA
Critiques of QCA
Chapter 9: Preparing Proposals, Reports, Manuscripts, and Presentations
Overview
Reporting QCA Methods
Summarizing Findings and Limitations
Improving Accessibility to Readers
Responding to Peer Review Critiques
Chapter 10: Examples of Mixed Methods Approaches using QCA
QCA Within a Mixed Methods Approach
Example of Convergent Design: Evaluation of the Jobs to Careers Program
Example of Sequential Design: A Configurational Approach to Understanding Project Delays
APPENDIX: Recommended QCA Resources
Glossary
References
Index
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