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مدل DINO×تحلیل کیفی مقایسه‌ای مجموعه‌های فازی×
حوزهروان‌سنجیروان‌سنجی
خانوادهLatent structureLatent structure
سال پیدایش20062000
پدیدآورJames Templin, Russell HensonCharles Ragin
نوعDisjunctive latent class modelSet-theoretic configurational method
منبع بنیادینTemplin, J., & Henson, R. A. (2006). Measurement of psychological disorders using cognitive diagnosis models. Psychological Methods, 11(3), 287-305. DOI ↗Ragin, C. C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press. DOI ↗
نام‌های دیگرDINOfsQCA, FSQCA
مرتبط44
خلاصهThe DINO Model (Deterministic Inputs, Noisy Outputs—Disjunctive) is a cognitive diagnostic model that relaxes DINA's conjunctive (AND) skill requirement logic. DINO assumes an examinee only needs to master one of multiple possible skill pathways to answer an item correctly, making it suitable for scenarios where skills are substitutable or alternative routes to success exist.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.
ScholarGateمجموعه‌داده
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  2. 3 منابع
  3. PUBLISHED
  1. v1
  2. 3 منابع
  3. PUBLISHED

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ScholarGateمقایسهٔ روش‌ها: DINO Model · Fuzzy-Set Qualitative Comparative Analysis. بازیابی‌شده در 2026-06-20 از https://scholargate.app/fa/compare