
Qualitative Comparative Analysis
An Introduction to Research Design and Application
Patrick A. Mello(Author)
Georgetown University Press
Published on 1. December 2021
Book
Paperback/Softback
240 pages
978-1-64712-145-7 (ISBN)
Description
A comprehensive and accessible guide to learning and successfully applying QCA
Social phenomena can rarely be attributed to single causes-instead, they typically stem from a myriad of interwoven factors that are often difficult to untangle. Drawing on set theory and the language of necessary and sufficient conditions, qualitative comparative analysis (QCA) is ideally suited to capturing this causal complexity. A case-based research method, QCA regards cases as combinations of conditions and compares the conditions of each case in a structured way to identify the necessary and sufficient conditions for an outcome.
Qualitative Comparative Analysis: An Introduction to Research Design and Application is a comprehensive guide to QCA. As QCA becomes increasingly popular across the social sciences, this textbook teaches students, scholars, and self-learners the fundamentals of the method, research design, interpretation of results, and how to communicate findings.
Following an ideal typical research cycle, the book's ten chapters cover the methodological basis and analytical routine of QCA, as well as matters of research design, causation and causal complexity, QCA variants, and the method's reception in the social sciences. A comprehensive glossary helps to clarify the meaning of frequently used terms. The book is complemented by an accessible online R manual to help new users to practice QCA's analytical steps on sample data and then implement with their own findings. This hands-on textbook is an essential resource for students and researchers looking for a complete and up-to-date introduction to QCA.
Social phenomena can rarely be attributed to single causes-instead, they typically stem from a myriad of interwoven factors that are often difficult to untangle. Drawing on set theory and the language of necessary and sufficient conditions, qualitative comparative analysis (QCA) is ideally suited to capturing this causal complexity. A case-based research method, QCA regards cases as combinations of conditions and compares the conditions of each case in a structured way to identify the necessary and sufficient conditions for an outcome.
Qualitative Comparative Analysis: An Introduction to Research Design and Application is a comprehensive guide to QCA. As QCA becomes increasingly popular across the social sciences, this textbook teaches students, scholars, and self-learners the fundamentals of the method, research design, interpretation of results, and how to communicate findings.
Following an ideal typical research cycle, the book's ten chapters cover the methodological basis and analytical routine of QCA, as well as matters of research design, causation and causal complexity, QCA variants, and the method's reception in the social sciences. A comprehensive glossary helps to clarify the meaning of frequently used terms. The book is complemented by an accessible online R manual to help new users to practice QCA's analytical steps on sample data and then implement with their own findings. This hands-on textbook is an essential resource for students and researchers looking for a complete and up-to-date introduction to QCA.
Reviews / Votes
Mello's book especially stands out from other publications on QCA in three different areas: the chapters on research design (Chapter II), QCA and its critics (Chapter IX) and the online 'R Manual' that accompanies the publication. These elements are especially interesting given the fact they are not discussed in many texts on QCA, thus filling an additional gap in the literature on the method. * Political Studies Review *More details
Language
English
Place of publication
Washington, DC
United States
Target group
College/higher education
US School Grade: From College Freshman to College Graduate Student
Product notice
Paperback (trade)
Illustrations
Not illustrated
Dimensions
Height: 251 mm
Width: 178 mm
Thickness: 17 mm
Weight
552 gr
ISBN-13
978-1-64712-145-7 (9781647121457)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Patrick A. Mello is a visiting scholar at the Willy Brandt School of Public Policy at the University of Erfurt and privatdozent at the TUM School of Governance of the Technical University of Munich. He is the author of Democratic Participation in Armed Conflict: Military Involvement in Kosovo, Afghanistan, and Iraq, winner of the 2015 Dissertation Award from the German Political Science Association. His articles have appeared in journals such as Foreign Policy Analysis, European Journal of International Security, and the British Journal of Politics and International Relations.
Content
List of Boxes, Figures, and Tables
Preface
Acknowledgments
1. Introduction
What Is Qualitative Comparative Analysis?
How To Use This Book
The QCA Research Cycle
A Brief History of QCA
Trends in QCA Applications
Book Outline
Notes
2. Research Design
Research Questions
Uses of QCA
Case Selection
Condition Selection
Multi-Method Research Designs
A Survey of Empirical Applications
Notes
3. Set Theory
Crisp and Fuzzy Sets
Set Operations
Truth Tables
Necessary and Sufficient Conditions
Assessing Set Relations
Notes
4. Causation and Causal Complexity
Theories of Causation in the Social Sciences
Causal Complexity
Causal Analysis
Notes
5. Calibrating Sets
Measurement and Calibration
Calibration Procedures
Types of Data
The Direct Method of Calibration
Calibration: Applied Examples
Common Misconceptions about Calibration
Good Practices of Calibration
Notes
6. Measures of Fit
Set-Theoretic Consistency
Set-Theoretic Coverage
Proportional Reduction in Inconsistency
Relevance of Necessity
Notes
7. Set-Theoretic Analysis
Analyzing Necessary Conditions
Truth Table Construction
Truth Table Analysis
Solution Terms
Counterfactual Analysis
Notes
8. QCA Variants
Multi-Value QCA
Temporal QCA
Two-Step QCA
Fuzzy Set Ideal Type Analysis
Related Methods and Approaches
Notes
9. QCA and Its Critics
Analytical Robustness
Comparisons with Other Methods
Formalization and Algorithms
Causal Analysis and Solution Terms
Recognizing QCA's Strengths and Limitations
Notes
10. Conclusion
Good Research Practice
Documenting and Communicating QCA Results
QCA Resources
The Way Ahead
Notes
Appendix: Link to Online R Manual
Glossary
References
Index
About the Author
Preface
Acknowledgments
1. Introduction
What Is Qualitative Comparative Analysis?
How To Use This Book
The QCA Research Cycle
A Brief History of QCA
Trends in QCA Applications
Book Outline
Notes
2. Research Design
Research Questions
Uses of QCA
Case Selection
Condition Selection
Multi-Method Research Designs
A Survey of Empirical Applications
Notes
3. Set Theory
Crisp and Fuzzy Sets
Set Operations
Truth Tables
Necessary and Sufficient Conditions
Assessing Set Relations
Notes
4. Causation and Causal Complexity
Theories of Causation in the Social Sciences
Causal Complexity
Causal Analysis
Notes
5. Calibrating Sets
Measurement and Calibration
Calibration Procedures
Types of Data
The Direct Method of Calibration
Calibration: Applied Examples
Common Misconceptions about Calibration
Good Practices of Calibration
Notes
6. Measures of Fit
Set-Theoretic Consistency
Set-Theoretic Coverage
Proportional Reduction in Inconsistency
Relevance of Necessity
Notes
7. Set-Theoretic Analysis
Analyzing Necessary Conditions
Truth Table Construction
Truth Table Analysis
Solution Terms
Counterfactual Analysis
Notes
8. QCA Variants
Multi-Value QCA
Temporal QCA
Two-Step QCA
Fuzzy Set Ideal Type Analysis
Related Methods and Approaches
Notes
9. QCA and Its Critics
Analytical Robustness
Comparisons with Other Methods
Formalization and Algorithms
Causal Analysis and Solution Terms
Recognizing QCA's Strengths and Limitations
Notes
10. Conclusion
Good Research Practice
Documenting and Communicating QCA Results
QCA Resources
The Way Ahead
Notes
Appendix: Link to Online R Manual
Glossary
References
Index
About the Author