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頑健な内容妥当性評価×収束的妥当性×
分野心理測定学心理測定学
系統Latent structureLatent structure
提唱年1975 (base); 2000s–2010s (robust extensions)1959
提唱者Grounded in Lawshe (1975) CVR framework; robust extensions draw on Huber, Wilcox, and robust statistics traditionDonald T. Campbell & Donald W. Fiske
種類Validity evidence / expert judgement procedure with outlier-resistant aggregationValidity evidence / construct validation
原典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 ↗
別名robust CVR, outlier-resistant content validity, robust content validity index, robust expert-panel validationconvergent construct validity, convergence validity, AVE-based convergent validity
関連64
概要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手法を比較: Robust Content Validity · Convergent Validity. 2026-06-15に以下より取得 https://scholargate.app/ja/compare