Comparer des méthodes

	Théorie de la généralisabilité appliquée aux tests adaptatifs informatisés	Analyse de la fiabilité des tests adaptatifs informatisés
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1972 (G-theory); CAT application 1990s–2000s	1970s–1980s
Auteur d'origine	Lee J. Cronbach (G-theory); applied to CAT by Brennan and others	David J. Weiss and IRT psychometricians
Type	Reliability / generalizability analysis	Reliability estimation under adaptive testing
Source fondatrice	Brennan, R. L. (2001). Generalizability Theory. Springer. ISBN: 978-0387952826	Weiss, D. J. (1984). Application of computerized adaptive testing to educational problems. Journal of Educational Measurement, 21(4), 361–375.
Alias	CAT G-theory, adaptive test generalizability, G-theory in CAT, computerized adaptive generalizability analysis	CAT reliability, adaptive test reliability, IRT-based reliability estimation, marginal reliability in CAT
Apparentées	6	4
Résumé	Generalizability theory (G-theory) applied to computerized adaptive testing (CAT) evaluates the dependability of adaptive test scores by decomposing score variance across measurement facets such as persons, items, and occasions. Unlike classical test theory, G-theory quantifies multiple simultaneous sources of measurement error, offering a richer reliability picture for adaptively administered assessments.	CAT reliability analysis quantifies measurement precision in computerized adaptive tests where each examinee receives a unique, individually tailored subset of items. Rather than a single classical coefficient, it uses item response theory to express precision as conditional standard error of measurement at each ability level, and marginal reliability as a global summary across the ability distribution.