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多层拉斯模型×Rasch 模型×
领域心理测量学心理测量学
方法族Latent structureLatent structure
起源年份19971960
提出者Adams, Wilson & WuGeorg Rasch
类型Hierarchical item response modelItem Response Theory / Latent trait model
开创性文献Adams, R. J., Wilson, M. & Wu, M. (1997). Multilevel item response models: An approach to errors in variables regression. Journal of Educational and Behavioral Statistics, 22(1), 47–76. DOI ↗Rasch, G. (1960). Probabilistic Models for Some Intelligence and Attainment Tests. Danish Institute for Educational Research, Copenhagen. link ↗
别名hierarchical Rasch model, random-effects Rasch model, multilevel IRT Rasch, MRCML model1PL IRT, one-parameter logistic model, Rasch Modeli — 1PL IRT, 1PL model
相关56
摘要The multilevel Rasch model extends the standard Rasch model to data with a nested structure — for example, students within classrooms within schools — by embedding person ability parameters inside a hierarchical linear model. It yields item difficulty estimates on a logit scale while simultaneously partitioning person-ability variance across cluster levels and correcting standard errors for non-independence.The Rasch model, introduced by Georg Rasch in 1960, is the simplest member of the Item Response Theory (IRT) family. It assigns a single difficulty parameter to each test item and places both item difficulties and person abilities on the same logit scale, enabling direct, sample-independent comparison of items and persons.
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ScholarGate方法对比: Multilevel Rasch Model · Rasch Model. 于 2026-06-17 检索自 https://scholargate.app/zh/compare