Qualitative Comparative Analysis (QCA) and Fuzzy-Sets: Agenda for a Research Approach and a Data Analysis Technique

in Comparative Sociology
Authors: Carsten Q. Schneider 1 and Claudius Wagemann 2
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1 1Department of Political Science and Center for the Study of Imperfections in Democracies, Central European University Nador utca 9, 1051 Budapest, Hungary, Email: schneiderc@ceu.hu
2 2Istituto italiano di scienze umane Palazzo Strozzi, Piazza degli Strozzi, 50123 Florence, Italy, Email: claudius.wagemann@sumitalia.it
Online Publication Date:
01 Jan 2010
Volume/Issue:
Volume 9: Issue 3
Article Type:
Research Article
DOI:
https://doi.org/10.1163/156913210X12493538729838
Keywords:
comparative methods; sufficiency and necessity; set-theoretic relations; fuzzy sets; QCA; causal complexity
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Abstract

“Qualitative Comparative Analysis” (QCA) is an increasingly applied methodological tool in comparative social sciences. It is well suited for the analysis of causally complex claims framed in terms of necessity and sufficiency. This article presents the epistemology of QCA and discusses its applicability to social science research questions. It also illustrates some of the features that have recently been added to this set of methodological tools. This article is best read in close conjunction with Schneider and Wagemann’s “Standards of Good QCA Practice,” the next paper in this journal issue.

Qualitative Comparative Analysis (QCA) and Fuzzy-Sets: Agenda for a Research Approach and a Data Analysis Technique

in Comparative Sociology
E-ISSN:
1569-1330
Print ISSN:
1569-1322
Publisher:
BRILL
Cover Comparative Sociology

Sections

Information

Page Count:
376–396
Subjects:
Comparative Social Sciences, Social Sciences
Copyright:
© 2010 Koninklijke Brill NV, Leiden, The Netherlands 2010

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