Comparer des méthodes

	Modèle de Courbe de Croissance Latente (LGC)	Modélisation par équations structurelles (MES)
Domaine	Statistique	Statistique
Famille	Latent structure	Latent structure
Année d'origine	1990	1970
Auteur d'origine	Meredith & Tisak	Karl Jöreskog (LISREL framework, 1970s)
Type	Latent variable / longitudinal growth model	Latent variable / causal modeling
Source fondatrice	Meredith, W. & Tisak, J. (1990). Latent Curve Analysis. Psychometrika, 55(1), 107–122.	Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540
Alias	latent growth model, LGC, growth curve model, Gizil Büyüme Eğrisi Modeli	Yapısal Eşitlik Modellemesi (SEM), structural equation modelling, covariance structure analysis, latent variable modeling
Apparentées	5	5
Résumé	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.	Structural equation modeling is a multivariate statistical framework that simultaneously estimates a measurement model — relating observed indicators to latent constructs — and a structural model specifying directional or reciprocal relationships among those constructs. Rooted in the LISREL tradition developed by Karl Jöreskog in the 1970s, SEM is the standard tool for testing complex theoretical models in the social, behavioural, and management sciences.