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计算机化自适应测验项目分析×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1970s–1990s1960
提出者Lord, Weiss, and colleagues in psychometric research on adaptive testingGeorg Rasch
类型Item calibration and evaluationItem Response Theory / Latent trait model
开创性文献van der Linden, W. J. & Glas, C. A. W. (Eds.) (2000). Computerized Adaptive Testing: Theory and Practice. Kluwer Academic Publishers. ISBN: 978-0792365556Rasch, G. (1960). Probabilistic Models for Some Intelligence and Attainment Tests. Danish Institute for Educational Research, Copenhagen. link ↗
别名CAT item analysis, adaptive item calibration, IRT-based CAT item evaluation, adaptive item parameter estimation1PL IRT, one-parameter logistic model, Rasch Modeli — 1PL IRT, 1PL model
相关66
摘要Computerized adaptive test item analysis evaluates and calibrates items intended for use in adaptive testing environments. Unlike fixed-form analysis, it accounts for the non-random item exposure inherent in adaptive administration, using item response theory to estimate item parameters, information functions, and exposure rates across the ability continuum.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: Computerized adaptive test item analysis · Rasch Model. 于 2026-06-17 检索自 https://scholargate.app/zh/compare