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Когнітивне діагностичне комп'ютеризоване адаптивне тестування×Fuzzy-Set Qualitative Comparative Analysis×
ГалузьПсихометріяПсихометрія
РодинаLatent structureLatent structure
Рік появи20072000
Автор методуXueli Xu, Jean-Paul FoxCharles Ragin
ТипSkill-adaptive testing with psychometric diagnostic classificationSet-theoretic configurational method
Основоположне джерелоChoi, 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 ↗
Інші назвиCD-CATfsQCA, FSQCA
Пов'язані54
ПідсумокCognitive 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.
ScholarGateНабір даних
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  2. 3 Джерела
  3. PUBLISHED
  1. v1
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ScholarGateПорівняння методів: Cognitive Diagnostic Computerized Adaptive Testing · Fuzzy-Set Qualitative Comparative Analysis. Отримано 2026-06-20 з https://scholargate.app/uk/compare