Comparer des méthodes

	Modélisation de la théorie des réponses aux items longitudinale (TRI-L)	Théorie de la réponse aux items (TRI)
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1991	1952–1968
Auteur d'origine	Susan E. Embretson	Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
Type	Latent trait / longitudinal psychometric model	Probabilistic measurement model
Source fondatrice	Embretson, S. E. (1991). A multidimensional latent trait model for measuring learning and change. Psychometrika, 56(3), 495–515.	Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley.
Alias	LIRT, longitudinal IRT, repeated-measures IRT, dynamic item response modeling	IRT, latent trait theory, item characteristic curve theory, modern test theory
Apparentées	4	5
Résumé	Longitudinal IRT extends classical item response theory to data collected at multiple time points, allowing researchers to model both the initial latent trait level and its change over time. It is used in educational assessment, clinical trials, and panel studies where the same items or item banks are administered repeatedly to the same individuals.	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.