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Théorie de la généralisabilité (G-Theory)×Modèle logistique à deux paramètres de la théorie de la réponse à l'item (2PL)×
DomainePsychométriePsychométrie
FamilleLatent structureLatent structure
Année d'origine19631980
Auteur d'origineLee J. Cronbach and colleaguesFrederic M. Lord
TypeANOVA-based variance-component frameworkItem response model / latent trait model
Source fondatriceBrennan, R. L. (2001). Generalizability Theory. Springer. link ↗Lord, F. M. (1980). Applications of Item Response Theory to Practical Testing Problems. Erlbaum. link ↗
AliasGeneralizability Theory, G-Study / D-Study framework, Genellenebilirlik Kuramı (G-Kuramı)two-parameter logistic model, 2PL model, 2PL IRT — İki Parametreli Madde Tepki Modeli
Apparentées66
RésuméGeneralizability Theory, developed by Lee J. Cronbach and colleagues in the 1960s and formalised by Brennan (2001), is an ANOVA-based framework that extends Classical Test Theory by decomposing observed score variance into multiple, separately identified sources of measurement error — such as raters, tasks, occasions, or items — rather than bundling all error into a single undifferentiated term.The two-parameter logistic item response model, formalised by Frederic Lord (1980), describes the probability that a respondent answers a binary test item correctly as a smooth S-shaped function of the respondent's latent ability. By estimating a separate discrimination parameter for each item alongside a difficulty parameter, 2PL allows items to differ in how sharply they distinguish high- from low-ability respondents — making it the standard model for large-scale educational and psychological assessments.
ScholarGateJeu de données
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  2. 2 Sources
  3. PUBLISHED
  1. v1
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  3. PUBLISHED

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ScholarGateComparer des méthodes: G-Theory · 2PL IRT. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare