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

Carsten Q. Schneider; Claudius Wagemann

doi:10.1163/156913210X12493538729838

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

in Comparative Sociology

Authors: Carsten Q. Schneider¹ and Claudius Wagemann²

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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

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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.