השוואת שיטות

	תיאוריית הכלליות של מבחנים אדפטיביים ממוחשבים	תיאוריית תגובת פריט (IRT)
תחום	פסיכומטריה	פסיכומטריה
משפחה	Latent structure	Latent structure
שנת המקור	1972 (G-theory); CAT application 1990s–2000s	1952–1968
הוגה השיטה	Lee J. Cronbach (G-theory); applied to CAT by Brennan and others	Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
סוג	Reliability / generalizability analysis	Probabilistic measurement model
מקור מכונן	Brennan, R. L. (2001). Generalizability Theory. Springer. ISBN: 978-0387952826	Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley.
כינויים	CAT G-theory, adaptive test generalizability, G-theory in CAT, computerized adaptive generalizability analysis	IRT, latent trait theory, item characteristic curve theory, modern test theory
קשורות	6	5
תקציר	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.	Item response theory models the probability that a respondent answers an item correctly (or endorses it) as a function of the respondent's latent trait level and the item's own statistical properties — difficulty, discrimination, and guessing. Unlike classical test theory, IRT places persons and items on the same scale, yielding measurement that is sample-independent for items and test-independent for persons.