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Qualitative Comparative Analysis, necessary conditions and limited diversity: some problematic consequences of Schneider and Wagemann’s Enhanced Standard Analysis

Cooper, B.; Glaesser, J.

Qualitative Comparative Analysis, necessary conditions and limited diversity: some problematic consequences of Schneider and Wagemann’s Enhanced Standard Analysis Thumbnail


Authors

B. Cooper

J. Glaesser



Abstract

We discuss a recent development in the set theoretic analysis of data sets characterized by limited diversity. Ragin, in developing his Qualitative Comparative Analysis (QCA), developed a standard analysis that produces parsimonious, intermediate, and complex Boolean solutions of truth tables. Schneider and Wagemann argue this standard analysis procedure is problematic and develop an enhanced standard analysis (ESA). We show, by developing Schneider and Wagemann’s discussion of Stokke’s work on fisheries conservation and by discussing a second illustrative truth table, that ESA has problematic features. We consider how scholars might proceed in the face of these problems, considering the relations between limited diversity and the different methods of reducing truth tables instantiated in Ragin’s QCA and Baumgartner’s Coincidence Analysis.

Citation

Cooper, B., & Glaesser, J. (2016). Qualitative Comparative Analysis, necessary conditions and limited diversity: some problematic consequences of Schneider and Wagemann’s Enhanced Standard Analysis. Field Methods, 28(3), 300-315. https://doi.org/10.1177/1525822x15598974

Journal Article Type Article
Acceptance Date Feb 5, 2015
Online Publication Date Oct 5, 2015
Publication Date 2016-08
Deposit Date Mar 31, 2015
Publicly Available Date Mar 28, 2024
Journal Field Methods
Print ISSN 1525-822X
Electronic ISSN 1552-3969
Publisher SAGE Publications
Peer Reviewed Peer Reviewed
Volume 28
Issue 3
Pages 300-315
DOI https://doi.org/10.1177/1525822x15598974
Keywords Qualitative Comparative Analysis, Necessary conditions, Limited diversity, Enhanced standard analysis, Coincidence Analysis.

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
This article is distributed under the terms of the Creative Commons Attribution 3.0 License (http://www.creativecommons.org/licenses/by/3.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).




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