Comparer des méthodes

	Analyse Comparative Qualitative par Ensembles Flous	Méthodologie de l'espace des règles
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	2000	1983
Auteur d'origine	Charles Ragin	Kikumi K. Tatsuoka
Type	Set-theoretic configurational method	IRT-based diagnostic classification
Source fondatrice	Ragin, C. C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press.	Hartz, S. M. (2002). A Bayesian framework for the unified treatment of assessing dimensionality, assessing local dependence, and estimating ability for unidimensional and multidimensional item response data. Unpublished doctoral dissertation, University of Illinois at Urbana-Champaign.
Alias	fsQCA, FSQCA	RSM
Apparentées	4	5
Résumé	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.	Rule Space Methodology (RSM) is a diagnostic classification approach developed by Tatsuoka (1983) that uses Item Response Theory and geometric methods to classify examinees into knowledge states based on their response patterns. Unlike classical scoring, RSM identifies which specific skills or competencies an examinee possesses or lacks, enabling targeted educational interventions.