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纵向项目反应理论 (LIRT)×纵向验证性因子分析×
领域心理测量学心理测量学
方法族Latent structureLatent structure
起源年份19911970s–1990s
提出者Susan E. EmbretsonKarl Jöreskog (CFA framework); longitudinal extension by Wheaton, Muthén, and Alwin in the 1970s–1990s
类型Latent trait / longitudinal psychometric modelLongitudinal latent variable / measurement model
开创性文献Embretson, S. E. (1991). A multidimensional latent trait model for measuring learning and change. Psychometrika, 56(3), 495–515. DOI ↗Widaman, K. F. & Reise, S. P. (1997). Exploring the measurement invariance of psychological instruments: Applications in the substance use domain. In K. J. Bryant, M. Windle & S. G. West (Eds.), The science of prevention: Methodological advances from alcohol and substance abuse research (pp. 281–324). American Psychological Association. link ↗
别名LIRT, longitudinal IRT, repeated-measures IRT, dynamic item response modelinglongitudinal CFA, repeated-measures CFA, longitudinal measurement model, panel CFA
相关46
摘要Longitudinal IRT extends classical item response theory to data collected at multiple time points, allowing researchers to model both the initial latent trait level and its change over time. It is used in educational assessment, clinical trials, and panel studies where the same items or item banks are administered repeatedly to the same individuals.Longitudinal confirmatory factor analysis (longitudinal CFA) applies a theoretically specified measurement model to data collected at two or more time points. Its primary purpose is to verify that a scale measures the same latent construct in the same way over time — a prerequisite for drawing valid conclusions about change from repeated-measures data.
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ScholarGate方法对比: Longitudinal IRT · Longitudinal CFA. 于 2026-06-19 检索自 https://scholargate.app/zh/compare