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Noodzakelijkheidsanalyse×Fuzzy-Set Kwalitatieve Vergelijkende Analyse×
VakgebiedPsychometriePsychometrie
FamilieLatent structureLatent structure
Jaar van ontstaan20162000
GrondleggerJan DulCharles Ragin
TypeSet-theoretic configurational analysisSet-theoretic configurational method
Oorspronkelijke bronDul, J. (2016). Necessary Condition Analysis (NCA): Logic and methodology of "necessary but not sufficient" causality. Organizational Research Methods, 19(1), 10-52. DOI ↗Ragin, C. C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press. DOI ↗
AliassenNCAfsQCA, FSQCA
Verwant54
SamenvattingNecessary Condition Analysis (NCA) is a set-theoretic method developed by Dul (2016) that identifies conditions necessary (but not necessarily sufficient) for an outcome to occur. Unlike regression, which estimates average effects, NCA identifies absolute thresholds: conditions that must be present at a certain level for the outcome to be possible, regardless of other factors.Fuzzy-Set Qualitative Comparative Analysis (fsQCA) is a set-theoretic method developed by Charles Ragin in the early 2000s that combines the configurational logic of qualitative case studies with the mathematical rigor of fuzzy sets. It bridges qualitative and quantitative research by allowing researchers to examine causal complexity through combinations of conditions (configurations) rather than isolated variables.
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  3. PUBLISHED

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ScholarGateMethoden vergelijken: Necessary Condition Analysis · Fuzzy-Set Qualitative Comparative Analysis. Geraadpleegd op 2026-06-17 via https://scholargate.app/nl/compare