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Qualitative Comparative Analysis Using R
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Table of Contents

Part I. Getting started: Introduction: QCA in a nutshell; Part II. Before the analytic moment: 2. Calibrating and combining sets; Part III. During the analytic moment: 3. Necessary conditions; 4. Sufficient conditions; Part IV. After the analytic moment: 5. Rounding up solid a QCA; 6. Post-QCA tools; 7. Summary and outlook.

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A comprehensive introduction and teaching resource for state-of-the-art Qualitative Comparative Analysis (QCA) using R software.

About the Author

Ioana-Elena Oana is a Research Fellow at the European University Institute (EUI) in Florence. She is the developer of the R package SetMethods and has extensive experience in teaching QCA at various international methods schools and universities across the world. Beyond QCA, her substantive work focuses on collective mobilization, public opinion, and party competition dynamics in the multiple crises that have hit the EU since 2008. Carsten Schneider is Professor at the Political Science Department, Central European University (CEU). His research in Comparative Politics and social science methodology has appeared been published by leading international journals and publishing houses. He is the 2019 awardee of the David Collier Mid-Career Achievement Award of APSA's Qualitative and Multi-Method Research section. Eva Thomann is Professor at the Department of Policy and Public Administration at the University of Konstanz. She teaches QCA and comparative research design at various international method schools. Her monograph Customized Implementation of European Union Food Safety Policy: United in Diversity? (2019) received the 2019 best book award by the International Public Policy Association. She co-edits the journal Regulation & Governance.

Reviews

In a relatively short, clear, and well-written textbook, the authors cover all the essentials of QCA. It includes all the current practices and developments that one needs to do a complete QCA analysis. I am using it in my QCA class and I think the students will like it. Gary Goertz, Kroc Institute for International Peace Studies, University of Notre Dame

This book is simply a must for anyone aiming at exploiting 'hands on' the distinctive analytic leverage of QCA, via the vast possibilities of the R environment. Benoît Rihoux, University of Louvain and COMPASSS global network (compasss.org)

Every now and then, a book comes along of which you think 'why wasn't this around when I was learning this stuff?'.  Because sometimes, you just want to learn from the best.  The authors have written an excellent guide for both first-time users and experienced QCA scholars: robust, powerful, and a must-read. Bart Cambré, Antwerp Management School

Easily accessible and loaded with a wealth of examples, this important book by Oana, Schneider, and Thomann provides an expert guide to the set-analytic perspective. The integration of concepts and research strategies with the R software package makes their approach particularly successful. I expect it will quickly become the standard introduction to QCA. Peer C. Fiss, University of Southern California

Social scientists interested in QCA should not miss this book. Oana, Schneider, and Thomann offer an introduction to QCA that is friendly, up to date, and technically advanced. The volume covers set relations, calibration of “crisp” and “fuzzy” sets, necessary conditions, sufficient configurations, temporality, advanced diagnostics, and post-QCA tools. Each chapter contains intuitive examples, advanced tips, and detailed implementation instructions in R. Aníbal Pérez-Liñán , University of Notre Dame

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