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稳健内容效度评估×聚合效度×
领域心理测量学心理测量学
方法族Latent structureLatent structure
起源年份1975 (base); 2000s–2010s (robust extensions)1959
提出者Grounded in Lawshe (1975) CVR framework; robust extensions draw on Huber, Wilcox, and robust statistics traditionDonald T. Campbell & Donald W. Fiske
类型Validity evidence / expert judgement procedure with outlier-resistant aggregationValidity evidence / construct validation
开创性文献Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575. link ↗Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗
别名robust CVR, outlier-resistant content validity, robust content validity index, robust expert-panel validationconvergent construct validity, convergence validity, AVE-based convergent validity
相关64
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.Convergent validity is the degree to which multiple indicators that are theoretically expected to measure the same construct actually correlate with one another. It is one of the two complementary forms of construct validity identified by Campbell and Fiske (1959) and is now routinely assessed via factor loadings and the Average Variance Extracted (AVE) statistic in SEM-based scale validation.
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ScholarGate方法对比: Robust Content Validity · Convergent Validity. 于 2026-06-17 检索自 https://scholargate.app/zh/compare