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潜在成長曲線モデル (LGC)×因子分析(EFA)×
分野統計学統計学
系統Latent structureLatent structure
提唱年1990
提唱者Meredith & Tisak
種類Latent variable / longitudinal growth modelLatent variable / dimension reduction
原典Meredith, W. & Tisak, J. (1990). Latent Curve Analysis. Psychometrika, 55(1), 107–122. DOI ↗Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. DOI ↗
別名latent growth model, LGC, growth curve model, Gizil Büyüme Eğrisi Modelicommon factor analysis, açımlayıcı faktör analizi, 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.Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance.
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ScholarGate手法を比較: LGC Model · EFA. 2026-06-19に以下より取得 https://scholargate.app/ja/compare