Comparer des méthodes

	Méthodologie de l'espace des règles	Analyse Comparative Qualitative par Ensembles Flous
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1983	2000
Auteur d'origine	Kikumi K. Tatsuoka	Charles Ragin
Type	IRT-based diagnostic classification	Set-theoretic configurational method
Source fondatrice	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 Unpublished doctoral dissertation, University of Illinois at Urbana-Champaign.	Ragin, C. C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press.
Alias	RSM	fsQCA, FSQCA
Apparentées	5	4
Résumé	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.	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.