Comparer des méthodes

	Théorie de la généralisabilité (G-Theory)	Coefficient de corrélation intraclasse (CCI)
Domaine	Psychométrie	Statistique
Famille	Latent structure	Hypothesis test
Année d'origine	1963	1979
Auteur d'origine	Lee J. Cronbach and colleagues	Shrout & Fleiss
Type	ANOVA-based variance-component framework	Reliability / agreement coefficient
Source fondatrice	Brennan, R. L. (2001). Generalizability Theory. Springer.	Shrout, P.E. & Fleiss, J.L. (1979). Intraclass Correlations: Uses in Assessing Rater Reliability. Psychological Bulletin, 86(2), 420–428.
Alias	Generalizability Theory, G-Study / D-Study framework, Genellenebilirlik Kuramı (G-Kuramı)	ICC, intraclass correlation, rater reliability coefficient, Sınıf İçi Korelasyon Katsayısı (ICC)
Apparentées	6	5
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.	The Intraclass Correlation Coefficient (ICC) is a parametric reliability statistic that quantifies the degree of agreement or consistency among repeated measurements or multiple raters on a continuous outcome. The modern six-form taxonomy was established by Shrout and Fleiss in 1979 and remains the standard framework for selecting and reporting ICC in inter-rater reliability, test-retest repeatability, and multilevel-data analyses.