Võrdle meetodeid

	Necessary Condition Analysis	Hägusa hulga kvalitatiivne võrdlev analüüs
Valdkond	Psühhomeetria	Psühhomeetria
Perekond	Latent structure	Latent structure
Tekkeaasta	2016	2000
Looja	Jan Dul	Charles Ragin
Tüüp	Set-theoretic configurational analysis	Set-theoretic configurational method
Algallikas	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.
Rööpnimetused	NCA	fsQCA, FSQCA
Seotud	5	4
Kokkuvõte	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.