© Koninklijke Brill NV, Leiden, 2010 DOI: 10.1163/156913210X12493538729793 Comparative Sociology 9 (2010) 397–418 brill.nl/coso C O M P A R A T I V E S O C I O L O G Y Standards of Good Practice in Qualitative Comparative Analysis (QCA) and Fuzzy-Sets Carsten Q. Schneider a and Claudius Wagemann b a) Department of Political Science and Center for the Study of Imperfections in Democracies, Central European University, Nador utca 9, 1051 Budapest, Hungary email@example.com b) Istituto italiano di scienze umane, Palazzo Strozzi, Piazza degli Strozzi, 50123 Florence, Italy firstname.lastname@example.org Abstract As a relatively new methodological tool, QCA is still a work in progress. Standards of good practice are needed in order to enhance the quality of its applications. We present a list from A to Z of twenty-six proposals regarding what a “good” QCA- based research entails, both with regard to QCA as a research approach and as an analytical technique. Our suggestions are subdivided into three categories: criteria referring to the research stages before, during, and after the analytical moment of data analysis. Th is listing can be read as a guideline for authors, reviewers, and readers of QCA. Keywords QCA, fuzzy sets, good
Comparative Sociology – Brill
Published: Jan 1, 2010
Keywords: data analysis; QCA; comparative methods; research approach; good practice; fuzzy sets
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