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문항 반응 이론 (IRT)×Rasch 모형×
분야심리측정학심리측정학
계열Latent structureLatent structure
기원 연도1952–19681960
창시자Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)Georg Rasch
유형Probabilistic measurement modelItem Response Theory / Latent trait model
원전Lord, 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 ↗
별칭IRT, latent trait theory, item characteristic curve theory, modern test theory1PL IRT, one-parameter logistic model, Rasch Modeli — 1PL IRT, 1PL model
관련56
요약Item 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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ScholarGate방법 비교: Item Response Theory · Rasch Model. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare