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Tests adaptatifs informatisés diagnostiques cognitifs×Analyse Comparative Qualitative par Ensembles Flous×
DomainePsychométriePsychométrie
FamilleLatent structureLatent structure
Année d'origine20072000
Auteur d'origineXueli Xu, Jean-Paul FoxCharles Ragin
TypeSkill-adaptive testing with psychometric diagnostic classificationSet-theoretic configurational method
Source fondatriceChoi, K. M., Lee, Y. S., & Park, Y. S. (2015). What CDM can tell about examinees' strengths and weaknesses: Cognitive diagnostic information in TIMSS. Journal of Educational Evaluation for Policy Analysis, 24(1), 79-100. link ↗Ragin, C. C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press. DOI ↗
AliasCD-CATfsQCA, FSQCA
Apparentées54
RésuméCognitive Diagnostic Computerized Adaptive Testing (CD-CAT) combines computerized adaptive testing (CAT) with cognitive diagnostic models (CDMs) to efficiently assess students' specific skill profiles. Rather than producing a single overall ability score, CD-CAT adaptively selects items to quickly identify which skills a student has mastered and which need development.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.
ScholarGateJeu de données
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  2. 3 Sources
  3. PUBLISHED
  1. v1
  2. 3 Sources
  3. PUBLISHED

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ScholarGateComparer des méthodes: Cognitive Diagnostic Computerized Adaptive Testing · Fuzzy-Set Qualitative Comparative Analysis. Consulté le 2026-06-20 sur https://scholargate.app/fr/compare