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。

多層確認的因子分析 (MCFA)×確認的因子分析(CFA)×
分野心理測定学心理測定学
系統Latent structureLatent structure
提唱年19941969
提唱者Bengt O. MuthenKarl Gustav Jöreskog
種類Latent variable model / measurement modelHypothesis-testing latent variable model
原典Muthen, B. O. (1994). Multilevel covariance structure analysis. Sociological Methods & Research, 22(3), 376–398. DOI ↗Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
別名MCFA, multilevel measurement model, two-level CFA, hierarchical CFACFA, confirmatory FA, measurement model, restricted factor analysis
関連64
概要Multilevel confirmatory factor analysis tests a pre-specified factor structure while simultaneously accounting for the non-independence of observations caused by clustered data. It decomposes item variance into within-group and between-group components, fitting a separate measurement model at each level, making it the standard tool for validating psychometric scales administered within natural groups such as classrooms, clinics, or organisations.Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing.
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 CFA · Confirmatory factor analysis. 2026-06-18に以下より取得 https://scholargate.app/ja/compare