So sánh phương pháp

	Multidimensional Item Response Theory	Lý thuyết Ứng đáp Câu hỏi (IRT)
Lĩnh vực	Education	Trắc lượng tâm lý
Họ	Latent structure	Latent structure
Năm ra đời	2009	1952–1968
Người khởi xướng	Mark Reckase; foundations in factor analysis of items (Bock, McDonald)	Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
Loại	Item response model with multiple latent ability dimensions	Probabilistic measurement model
Công trình gốc	Reckase, M. D. (2009). Multidimensional Item Response Theory. Springer.	Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley.
Tên gọi khác	MIRT, Multidimensional IRT, Compensatory MIRT, Bifactor IRT	IRT, latent trait theory, item characteristic curve theory, modern test theory
Liên quan	4	5
Tóm tắt	Multidimensional item response theory (MIRT) generalizes IRT to tests that measure more than one latent ability at once. Instead of a single ability θ, each examinee is characterized by a vector of abilities, and each item by a vector of discriminations indicating how strongly it taps each dimension. MIRT unites the logic of item response theory with the structure of factor analysis, letting analysts model, for example, that a word-problem item draws on both reading and mathematics. Synthesized in Reckase's authoritative treatment, it underlies the analysis of complex, multi-skill assessments.	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.