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In statistics, qualitative comparative analysis (QCA) is a data analysis based on set theory to examine the relationship of conditions to outcome. QCA describes the relationship in terms of necessary conditions and sufficient conditions.[1] The technique was originally developed by Charles Ragin in 1987[2] to study data sets that are too small for linear regression analysis but large for cross-case analysis.[3]
^Ragin, Charles C. (2014). The comparative method : moving beyond qualitative and quantitative strategies : with a new introduction. Oakland, California. ISBN 978-0-520-95735-0. OCLC 881322765.{{cite book}}: CS1 maint: location missing publisher (link)
^Ragin, Charles C. (1987). The Comparative Method: Moving Beyond Qualitative and Quantitative Strategies. University of California Press. ISBN 9780520058347.
^Mattke, Jens; Maier, Christian; Weitzel, Tim; Thatcher, Jason Bennett (2021-01-01). "Qualitative comparative analysis in the information systems discipline: a literature review and methodological recommendations". Internet Research. 31 (5): 1493–1517. doi:10.1108/INTR-09-2020-0529. ISSN 1066-2243. S2CID 235510041.
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