方法对比

	ordinal reliability analysis	项目反应理论 (IRT)
领域	心理测量学	心理测量学
方法族	Latent structure	Latent structure
起源年份	2007	1952–1968
提出者	Bruno D. Zumbo and colleagues	Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
类型	Internal consistency reliability estimation	Probabilistic measurement model
开创性文献	Zumbo, B. D., Gadermann, A. M. & Zeisser, C. (2007). Ordinal versions of coefficients alpha and theta as measures of internal consistency for Likert rating scales. Journal of Modern Applied Statistical Methods, 6(1), 21–29.	Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley.
别名	ordinal alpha, polychoric reliability, reliability for ordinal scales, ORA	IRT, latent trait theory, item characteristic curve theory, modern test theory
相关	5	5
摘要	Ordinal reliability analysis estimates the internal consistency of scales whose items are measured on ordered-category (Likert-type) response formats. By basing computations on polychoric correlations rather than Pearson correlations, it corrects for the attenuation that standard Cronbach's alpha produces when responses are discrete and non-normal.	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.