So sánh phương pháp

	Phân tích độ tin cậy đa hạng mục	Lý thuyết Ứng đáp Câu hỏi (IRT)
Lĩnh vực	Trắc lượng tâm lý	Trắc lượng tâm lý
Họ	Latent structure	Latent structure
Năm ra đời	2007–2009 (formal ordinal extensions); broader framework since 1950s	1952–1968
Người khởi xướng	Building on Cronbach (1951) and McDonald (1978); ordinal extensions by Zumbo and colleagues (2007) and Green and Yang (2009)	Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
Loại	Reliability estimation	Probabilistic measurement model
Công trình gốc	Green, S. B. & Yang, Y. (2009). Reliability of summed item scores using structural equation modeling: An alternative to coefficient alpha. Psychometrika, 74(1), 155–167.	Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley.
Tên gọi khác	polytomous scale reliability, ordinal reliability estimation, reliability for ordered-category items, polychoric reliability analysis	IRT, latent trait theory, item characteristic curve theory, modern test theory
Liên quan	3	5
Tóm tắt	Polytomous reliability analysis estimates the internal consistency or precision of measurement for scales composed of items with more than two ordered response categories, such as Likert-type, rating, or partial-credit items. It corrects a well-known underestimation bias in conventional Cronbach's alpha by working with polychoric correlations or IRT-based precision indices.	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.