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潜在成長曲線モデル (LGC)×確認的因子分析(CFA)×
分野統計学心理測定学
系統Latent structureLatent structure
提唱年19901969
提唱者Meredith & TisakKarl Gustav Jöreskog
種類Latent variable / longitudinal growth modelHypothesis-testing latent variable model
原典Meredith, W. & Tisak, J. (1990). Latent Curve Analysis. Psychometrika, 55(1), 107–122. DOI ↗Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
別名latent growth model, LGC, growth curve model, Gizil Büyüme Eğrisi ModeliCFA, confirmatory FA, measurement model, restricted factor analysis
関連54
概要The latent growth curve model is a structural equation modelling approach introduced by Meredith and Tisak (1990) for analysing change over time. It treats each individual's starting point (intercept) and rate of change (slope) as latent variables, simultaneously estimating the average trajectory across the sample and the extent to which individuals differ in their own trajectories.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.
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ScholarGate手法を比較: LGC Model · Confirmatory factor analysis. 2026-06-19に以下より取得 https://scholargate.app/ja/compare