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计算机化自适应测试(CAT)中的内容效度×内容效度×
领域心理测量学心理测量学
方法族Latent structureLatent structure
起源年份1975 / 19801975
提出者Lawshe (content validity); Lord & Weiss (CAT framework)C. H. Lawshe (quantitative framework); earlier qualitative traditions in educational measurement
类型Validity evaluation / test designValidity evidence / expert judgement procedure
开创性文献Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575. link ↗Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575. link ↗
别名CAT content validity, adaptive item bank content coverage, content balancing in CAT, CAT blueprint validitycontent-related validity, logical validity, face validity, content validation
相关66
摘要Content validity in computerized adaptive testing (CAT) ensures that an adaptively administered assessment adequately samples the intended content domain despite delivering only a subset of items to each examinee. It integrates classical content validity methods with CAT-specific item bank design and content balancing algorithms to guarantee representative domain coverage at both the item bank and the individual test level.Content validity is evidence that a measurement instrument adequately samples the full domain of the construct it is intended to measure. It is established through systematic expert review and quantified with indices such as Lawshe's Content Validity Ratio (CVR) and Lynn's Content Validity Index (CVI), making it the foundational validity step in scale development.
ScholarGate数据集
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ScholarGate方法对比: Computerized Adaptive Test Content Validity · Content Validity. 于 2026-06-15 检索自 https://scholargate.app/zh/compare