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领域心理测量学心理测量学
方法族Latent structureLatent structure
起源年份1975 (base); 2000s–2010s (robust extensions)1975
提出者Grounded in Lawshe (1975) CVR framework; robust extensions draw on Huber, Wilcox, and robust statistics traditionC. H. Lawshe (quantitative framework); earlier qualitative traditions in educational measurement
类型Validity evidence / expert judgement procedure with outlier-resistant aggregationValidity 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robust CVR, outlier-resistant content validity, robust content validity index, robust expert-panel validationcontent-related validity, logical validity, face validity, content validation
相关66
摘要Robust content validity assessment applies outlier-resistant statistical methods to the aggregation of expert panel ratings in content validation studies. By detecting and down-weighting idiosyncratic or extreme rater judgements, it yields Content Validity Ratio (CVR) and Content Validity Index (CVI) estimates that reflect the consensus of the panel more accurately than standard averaging when one or a few raters deviate sharply from the group.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.
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  3. PUBLISHED

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ScholarGate方法对比: Robust Content Validity · Content Validity. 于 2026-06-15 检索自 https://scholargate.app/zh/compare