Comparer des méthodes

	Analyse des conditions nécessaires	Traçage de processus
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	2016	2005
Auteur d'origine	Jan Dul	Alexander George, Andrew Bennett
Type	Set-theoretic configurational analysis	Qualitative causal inference
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.	Bennett, A., & Checkel, J. T. (Eds.). (2015). Process Tracing: From Metaphor to Analytic Tool. Cambridge University Press.
Alias	NCA	—
Apparentées	5	5
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.	Process Tracing is a qualitative research method developed by George and Bennett (2005) for studying causal mechanisms and causal chains within individual cases. It involves examining the sequence of events and decision-making processes within a case to infer whether a hypothesized causal mechanism actually operated. Process tracing aims to strengthen causal inference in case studies by looking beyond correlation to understand how causes produce effects.