Comparer des méthodes

	Modèle DINA	Modèle DINO
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	2001	2006
Auteur d'origine	Brian Junker, Klaas Sijtsma	James Templin, Russell Henson
Type	Discrete latent class model	Disjunctive latent class model
Source fondatrice	Junker, B. W., & Sijtsma, K. (2001). Cognitive assessment models with few assumptions, and connections with nonparametric item response theory. Applied Psychological Measurement, 25(3), 258-272.	Templin, J., & Henson, R. A. (2006). Measurement of psychological disorders using cognitive diagnosis models. Psychological Methods, 11(3), 287-305.
Alias	DINA	DINO
Apparentées	4	4
Résumé	The DINA Model (Deterministic Inputs, Noisy Outputs) is a cognitive diagnostic model developed by Junker and Sijtsma (2001) that classifies examinees into latent skill classes based on their item response patterns. DINA assumes a deterministic relationship between skill mastery and correct responses, with probabilistic error accounting for guessing and slips.	The 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.