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頑健な内容妥当性評価×内容妥当性×
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)1975
提唱者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
種類Validity evidence / expert judgement procedure with outlier-resistant aggregationValidity evidence / expert judgement procedure
原典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 ↗
別名robust CVR, outlier-resistant content validity, robust content validity index, robust expert-panel validationcontent-related validity, logical validity, face validity, content validation
関連66
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.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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ScholarGate手法を比較: Robust Content Validity · Content Validity. 2026-06-15に以下より取得 https://scholargate.app/ja/compare