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Testes Adaptativos Computadorizados de Diagnóstico Cognitivo×Análise Qualitativa Comparativa por Conjuntos Fuzzy×
ÁreaPsicometriaPsicometria
FamíliaLatent structureLatent structure
Ano de origem20072000
Autor originalXueli Xu, Jean-Paul FoxCharles Ragin
TipoSkill-adaptive testing with psychometric diagnostic classificationSet-theoretic configurational method
Fonte seminalChoi, 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 ↗
Outros nomesCD-CATfsQCA, FSQCA
Relacionados54
ResumoCognitive 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.
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ScholarGateComparar métodos: Cognitive Diagnostic Computerized Adaptive Testing · Fuzzy-Set Qualitative Comparative Analysis. Recuperado em 2026-06-20 de https://scholargate.app/pt/compare