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。

多層尺度開発×多層信頼性分析×
分野心理測定学心理測定学
系統Latent structureLatent structure
提唱年1990s–2000s2014
提唱者Raudenbush, Bryk, Hox and colleaguesGeldhof, Preacher & Zyphur
種類Hierarchical measurement / scale constructionReliability estimation / psychometric modeling
原典Hox, J. J. (2010). Multilevel Analysis: Techniques and Applications (2nd ed.). Routledge. ISBN: 978-1848728462Geldhof, G. J., Preacher, K. J., & Zyphur, M. J. (2014). Reliability estimation in a multilevel confirmatory factor analysis framework. Psychological Methods, 19(1), 72–91. DOI ↗
別名multilevel measurement modeling, hierarchical scale development, MLSEM scale construction, nested data scale developmentmultilevel omega, within-group reliability, between-group reliability, hierarchical reliability
関連53
概要Multilevel scale development constructs and validates measurement instruments for data collected from individuals nested within higher-level units such as classrooms, organizations, or clinics. It partitions item variance into within-group and between-group components, ensuring that reliability and factor structure are evaluated at both levels simultaneously.Multilevel reliability analysis estimates the internal consistency of scale scores separately at the within-group (individual) and between-group (cluster) levels. It corrects the bias that arises when ordinary alpha or omega is applied to hierarchically nested data, such as employees within organizations or students within classrooms.
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: Multilevel Scale Development · Multilevel Reliability Analysis. 2026-06-15に以下より取得 https://scholargate.app/ja/compare