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Vastausfunktioiden teoria (IRT)×Rasch-malli×
TieteenalaPsykometriikkaPsykometriikka
MenetelmäperheLatent structureLatent structure
Syntyvuosi1952–19681960
KehittäjäFrederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)Georg Rasch
TyyppiProbabilistic measurement modelItem Response Theory / Latent trait model
AlkuperäislähdeLord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗Rasch, G. (1960). Probabilistic Models for Some Intelligence and Attainment Tests. Danish Institute for Educational Research, Copenhagen. link ↗
RinnakkaisnimetIRT, latent trait theory, item characteristic curve theory, modern test theory1PL IRT, one-parameter logistic model, Rasch Modeli — 1PL IRT, 1PL model
Liittyvät56
TiivistelmäItem 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.
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ScholarGateVertaile menetelmiä: Item Response Theory · Rasch Model. Haettu 2026-06-18 osoitteesta https://scholargate.app/fi/compare