ScholarGate
Asistente

Comparar métodos

Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.

Modelo DINO×Análisis Cualitativo Comparado de Conjuntos Difusos×
CampoPsicometríaPsicometría
FamiliaLatent structureLatent structure
Año de origen20062000
Autor originalJames Templin, Russell HensonCharles Ragin
TipoDisjunctive latent class modelSet-theoretic configurational method
Fuente seminalTemplin, 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 ↗
AliasDINOfsQCA, FSQCA
Relacionados44
ResumenThe 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.
ScholarGateConjunto de datos
  1. v1
  2. 3 Fuentes
  3. PUBLISHED
  1. v1
  2. 3 Fuentes
  3. PUBLISHED

Ir a la búsqueda Descargar diapositivas

ScholarGateComparar métodos: DINO Model · Fuzzy-Set Qualitative Comparative Analysis. Recuperado el 2026-06-20 de https://scholargate.app/es/compare