Comparer des méthodes

	Analyse des conditions nécessaires	Analyse Comparative Qualitative par Ensembles Flous
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	2016	2000
Auteur d'origine	Jan Dul	Charles Ragin
Type	Set-theoretic configurational analysis	Set-theoretic configurational method
Source fondatrice	Dul, J. (2016). Necessary Condition Analysis (NCA): Logic and methodology of "necessary but not sufficient" causality. Organizational Research Methods, 19(1), 10-52.	Ragin, C. C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press.
Alias	NCA	fsQCA, FSQCA
Apparentées	5	4
Résumé	Necessary 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.