Standards of Good Practice in Qualitative Comparative Analysis (QCA) and Fuzzy-Sets

Standards of Good Practice in Qualitative Comparative Analysis (QCA) and Fuzzy-Sets © 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 schneiderc@ceu.hu b) Istituto italiano di scienze umane, Palazzo Strozzi, Piazza degli Strozzi, 50123 Florence, Italy claudius.wagemann@sumitalia.it 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 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Comparative Sociology Brill

Standards of Good Practice in Qualitative Comparative Analysis (QCA) and Fuzzy-Sets

Comparative Sociology, Volume 9 (3): 397 – Jan 1, 2010

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Publisher
Brill
Copyright
© 2010 Koninklijke Brill NV, Leiden, The Netherlands
ISSN
1569-1322
eISSN
1569-1330
DOI
10.1163/156913210X12493538729793
Publisher site
See Article on Publisher Site

Abstract

© 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 schneiderc@ceu.hu b) Istituto italiano di scienze umane, Palazzo Strozzi, Piazza degli Strozzi, 50123 Florence, Italy claudius.wagemann@sumitalia.it 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

Journal

Comparative SociologyBrill

Published: Jan 1, 2010

Keywords: data analysis; QCA; comparative methods; research approach; good practice; fuzzy sets

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