ScholarGate
Asistent

Compară metode

Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.

Modelul DINO×Analiza calitativă comparativă prin seturi fuzzy×
DomeniuPsihometriePsihometrie
FamilieLatent structureLatent structure
Anul apariției20062000
Autorul originalJames Templin, Russell HensonCharles Ragin
TipDisjunctive latent class modelSet-theoretic configurational method
Sursa seminalăTemplin, 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 ↗
Denumiri alternativeDINOfsQCA, FSQCA
Înrudite44
RezumatThe 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.
ScholarGateSet de date
  1. v1
  2. 3 Surse
  3. PUBLISHED
  1. v1
  2. 3 Surse
  3. PUBLISHED

Mergi la căutare Descarcă prezentarea

ScholarGateCompară metode: DINO Model · Fuzzy-Set Qualitative Comparative Analysis. Preluat la 2026-06-20 de pe https://scholargate.app/ro/compare