Set-Theoretic Methods for the Social Sciences: A guide to qualitative comparative analysis

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dc.contributor.author SCHNEIDER, Carsten Q.
dc.contributor.author WAGEMANN, Claudius
dc.date.accessioned 2012-10-04T15:35:18Z
dc.date.available 2012-10-04T15:35:18Z
dc.date.issued 2012
dc.identifier.citation Cambridge, Cambridge University Press, 2012, Strategies for social inquiry en
dc.identifier.isbn 9781107013520
dc.identifier.isbn 9781107601130
dc.identifier.uri http://hdl.handle.net/1814/24077
dc.description The publication is an adaptation and translation of Qualitative Comparative Analysis (QCA) und fuzzy sets: ein Lehrbuch für Anwender und jene, die es werden wollen, Leverkusen/Verlag Barbara Budrich, 2007. ISBN: 9783866490680. (http://hdl.handle.net/1814/24076) en
dc.description.abstract Qualitative Comparative Analysis (QCA) and other set-theoretic methods distinguish themselves from other approaches to the study of social phenomena by using sets and the search for set relations. In virtually all social science fields, statements about social phenomena can be framed in terms of set relations, and using set-theoretic methods to investigate these statements is therefore highly valuable. This book guides readers through the basic principles of set theory and then on to the applied practices of QCA. It provides a thorough understanding of basic and advanced issues in set-theoretic methods together with tricks of the trade, software handling and exercises. Most arguments are introduced using examples from existing research. The use of QCA is increasing rapidly and the application of set-theory is both fruitful and still widely misunderstood in current empirical comparative social research. This book provides an invaluable guide to these methods for researchers across the social sciences. en
dc.description.tableofcontents -- Introduction; -- Part I. Set-Theoretic Methods: The Basics: 1. Sets, set membership, and calibration; 2. Notions and operations in set theory; 3. Set relations; 4. Truth tables; -- Part II. Neat Formal Logic Meets Noisy Social Science Data: 5. Parameters of fit; 6. Limited diversity and logical remainders; 7. The truth table algorithm; -- Part III. Potential Pitfalls and Suggestions for Solutions: 8. Potential pitfalls in the standard analysis procedure and suggestions for improvement; 9. Potential pitfalls in the analysis of necessity and sufficiency and suggestions for avoiding them; -- Part IV. Variants of QCA as a Technique Meet QCA as an Approach: 10. Variants of QCA; 11. Data analysis technique meets set-theoretic approach; 12. Looking back: looking ahead; Glossary en
dc.language.iso en en
dc.publisher Cambridge University Press en
dc.title Set-Theoretic Methods for the Social Sciences: A guide to qualitative comparative analysis en
dc.type Book en


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