Comparer des méthodes

	Développement d'échelles par test adaptatif informatisé	Théorie de la réponse aux items (TRI)
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1970s–1980s	1952–1968
Auteur d'origine	Frederic Lord (IRT foundations); CAT systems developed at ETS and ACT in the 1970s–1980s	Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
Type	Measurement design and test construction	Probabilistic measurement model
Source fondatrice	Wainer, H., Dorans, N. J., Flaugher, R., Green, B. F., Mislevy, R. J., Steinberg, L., & Thissen, D. (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113	Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley.
Alias	CAT scale construction, adaptive test development, computerized adaptive testing scale design, CAT item bank development	IRT, latent trait theory, item characteristic curve theory, modern test theory
Apparentées	5	5
Résumé	Computerized adaptive test (CAT) scale development is the process of constructing, calibrating, and validating a large item bank such that the assessment algorithm can select items tailored to each examinee's estimated ability or trait level in real time. The result is a measurement instrument that achieves high precision with fewer items than a conventional fixed-form test.	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.