Hardback : HK$800.00
A comprehensive introduction and teaching resource for state-of-the-art Qualitative Comparative Analysis (QCA) using R software. This guide facilitates the efficient teaching, independent learning, and use of QCA with the best available software, reducing the time and effort required when encountering not just the logic of a new method, but also new software. With its applied and practical focus, the book offers a genuinely simple and intuitive resource for implementing the most complete protocol of QCA. To make the lives of students, teachers, researchers, and practitioners as easy as possible, the book includes learning goals, core points, empirical examples, and tips for good practices. The freely available online material provides a rich body of additional resources to aid users in their learning process. Beyond performing core analyses with the R package QCA, the book also facilitates a close integration with the R package SetMethods allowing for a host of additional protocols for building a more solid and well-rounded QCA.
A comprehensive introduction and teaching resource for state-of-the-art Qualitative Comparative Analysis (QCA) using R software. This guide facilitates the efficient teaching, independent learning, and use of QCA with the best available software, reducing the time and effort required when encountering not just the logic of a new method, but also new software. With its applied and practical focus, the book offers a genuinely simple and intuitive resource for implementing the most complete protocol of QCA. To make the lives of students, teachers, researchers, and practitioners as easy as possible, the book includes learning goals, core points, empirical examples, and tips for good practices. The freely available online material provides a rich body of additional resources to aid users in their learning process. Beyond performing core analyses with the R package QCA, the book also facilitates a close integration with the R package SetMethods allowing for a host of additional protocols for building a more solid and well-rounded QCA.
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.
A comprehensive introduction and teaching resource for state-of-the-art Qualitative Comparative Analysis (QCA) using R software.
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.
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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