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Model latentnog rasta krivulje (LGC)×Konfirmatorna faktorska analiza (CFA)×
OblastStatistikaPsihometrija
PorodicaLatent structureLatent structure
Godina nastanka19901969
TvoracMeredith & TisakKarl Gustav Jöreskog
TipLatent variable / longitudinal growth modelHypothesis-testing latent variable model
Temeljni izvorMeredith, 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 ↗
Drugi nazivilatent growth model, LGC, growth curve model, Gizil Büyüme Eğrisi ModeliCFA, confirmatory FA, measurement model, restricted factor analysis
Srodne54
SažetakThe 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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ScholarGateUporedite metode: LGC Model · Confirmatory factor analysis. Preuzeto 2026-06-19 sa https://scholargate.app/sr/compare