পদ্ধতির তুলনা করুন

	অর্ডিনাল আইটেম রেসপন্স থিওরি	আইটেম রেসপন্স থিওরি (IRT)
ক্ষেত্র	মনোমিতি	মনোমিতি
পরিবার	Latent structure	Latent structure
উদ্ভবের বছর	1969	1952–1968
প্রবর্তক	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)
ধরন	Probabilistic latent trait model for ordered polytomous responses	Probabilistic measurement model
মৌলিক উৎস	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.
অপর নাম	polytomous IRT, ordinal IRT models, graded response models, ordinal latent trait models	IRT, latent trait theory, item characteristic curve theory, modern test theory
সম্পর্কিত	6	5
সারসংক্ষেপ	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.