Comparer des méthodes

	Théorie de la généralisabilité (G-Theory)	Fiabilité inter-juges (κ de Cohen et CCI)
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1963	1960 (kappa); 1979 (ICC)
Auteur d'origine	Lee J. Cronbach and colleagues	Cohen (kappa, 1960); Shrout & Fleiss (ICC, 1979)
Type	ANOVA-based variance-component framework	Reliability / agreement analysis
Source fondatrice	Brennan, R. L. (2001). Generalizability Theory. Springer.	Cohen, J. (1960). A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement, 20(1), 37–46.
Alias	Generalizability Theory, G-Study / D-Study framework, Genellenebilirlik Kuramı (G-Kuramı)	inter-rater reliability, interrater agreement, rater agreement, Değerlendiriciler Arası Güvenilirlik (Cohen's κ, ICC)
Apparentées	6	6
Résumé	Generalizability 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.	Interrater reliability quantifies the degree to which two or more independent raters produce consistent scores when evaluating the same individuals or products. The family encompasses Cohen's kappa, introduced in 1960 for categorical judgments, and the Intraclass Correlation Coefficient (ICC) for continuous ratings, together spanning most measurement scenarios encountered in behavioral, health, and educational research.