Comparer des méthodes

	Théorie de la réponse aux items (TRI)	Modèle de Rasch
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1952–1968	1960
Auteur d'origine	Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)	Georg Rasch
Type	Probabilistic measurement model	Item Response Theory / Latent trait model
Source fondatrice	Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley.	Rasch, G. (1960). Probabilistic Models for Some Intelligence and Attainment Tests. Danish Institute for Educational Research, Copenhagen.
Alias	IRT, latent trait theory, item characteristic curve theory, modern test theory	1PL IRT, one-parameter logistic model, Rasch Modeli — 1PL IRT, 1PL model
Apparentées	5	6
Résumé	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.	The Rasch model, introduced by Georg Rasch in 1960, is the simplest member of the Item Response Theory (IRT) family. It assigns a single difficulty parameter to each test item and places both item difficulties and person abilities on the same logit scale, enabling direct, sample-independent comparison of items and persons.