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Qualitative Comparative Analysis (QCA) and Fuzzy-Sets: Agenda for a Research Approach and a Data Analysis Technique
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2010
Year
Total Quality ManagementMethodological OrientationEducationSocial SciencesProgram EvaluationFuzzy Multi-criteria Decision-makingMethodology ComparisonData Analysis TechniqueManagementGood Qca PracticeResearch ApproachComplex ClaimsStatisticsFuzzy LogicQualitative Comparative AnalysisComparative Social SciencesPolicy StudiesQualitative AnalysisFuzzy MathematicsSociologySocial FoundationsEpistemologyComparative MethodologyQualitative Method
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.