Порівняння методів

	Ординарна теорія відгуку на завдання	Теорія реакцій на завдання (IRT)
Галузь	Психометрія	Психометрія
Родина	Latent structure	Latent structure
Рік появи	1969	1952–1968
Автор методу	Fumiko Samejima (Graded Response Model, 1969); Gerhard Fischer & Georg Rasch lineage for partial credit	Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
Тип	Probabilistic latent trait model for ordered polytomous responses	Probabilistic measurement model
Основоположне джерело	Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph Supplement, 34(4, Pt. 2), 1–97.	Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley.
Інші назви	polytomous IRT, ordinal IRT models, graded response models, ordinal latent trait models	IRT, latent trait theory, item characteristic curve theory, modern test theory
Пов'язані	6	5
Підсумок	Ordinal item response theory (ordinal IRT) comprises a family of probabilistic models — most notably the Graded Response Model and the Partial Credit Model — that relate a respondent's standing on a latent trait to the probability of choosing each ordered response category on a polytomous item. It extends classical IRT beyond dichotomous items to the Likert-type and rating-scale items that dominate psychometric measurement.	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.