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纵向项目分析×项目反应理论 (IRT)×
领域心理测量学心理测量学
方法族Latent structureLatent structure
起源年份1990s–2000s1952–1968
提出者Vandenberg, Lance, Meade and colleagues in organizational/educational measurementFrederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
类型Item-level longitudinal diagnosticProbabilistic measurement model
开创性文献Meade, A. W., Johnson, E. C. & Braddy, P. W. (2008). Power and sensitivity of alternative fit indices in tests of measurement invariance. Journal of Applied Psychology, 93(3), 568–592. DOI ↗Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗
别名LIA, repeated-measures item analysis, longitudinal item calibration, item parameter stability analysisIRT, latent trait theory, item characteristic curve theory, modern test theory
相关65
摘要Longitudinal item analysis examines how the statistical properties of individual scale items — difficulty, discrimination, factor loadings, and fit — remain stable or change systematically across repeated measurement occasions. It is the item-level foundation of longitudinal measurement validity.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.
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ScholarGate方法对比: Longitudinal Item Analysis · Item Response Theory. 于 2026-06-18 检索自 https://scholargate.app/zh/compare