ScholarGate
アシスタント

手法を比較

選択した手法を並べて確認できます。異なる行はハイライト表示されます。

頑健な内容妥当性評価×判別妥当性×
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 and Donald W. Fiske
種類Validity evidence / expert judgement procedure with outlier-resistant aggregationValidity evidence / psychometric evaluation
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 validationdiscriminant validity evidence, divergent validity, DV, AVE-based discriminant validity
関連65
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.Discriminant validity is evidence that a latent construct is empirically distinct from other constructs it should differ from. Originating in Campbell and Fiske's multitrait-multimethod framework (1959), it is a core component of construct validity and a mandatory check in scale development and structural equation modeling.
ScholarGateデータセット
  1. v1
  2. 2 出典
  3. PUBLISHED
  1. v1
  2. 2 出典
  3. PUBLISHED

検索へ スライドをダウンロード

ScholarGate手法を比較: Robust Content Validity · Discriminant Validity. 2026-06-15に以下より取得 https://scholargate.app/ja/compare