Salīdzināt metodes

	Latent Growth Curve Model (LGC)	Strukturālā vienādojumu modelēšana (SEM)
Nozare	Statistika	Statistika
Saime	Latent structure	Latent structure
Izcelsmes gads	1990	1970
Autors	Meredith & Tisak	Karl Jöreskog (LISREL framework, 1970s)
Tips	Latent variable / longitudinal growth model	Latent variable / causal modeling
Pirmavots	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
Citi nosaukumi	latent growth model, LGC, growth curve model, Gizil Büyüme Eğrisi Modeli	Yapısal Eşitlik Modellemesi (SEM), structural equation modelling, covariance structure analysis, latent variable modeling
Saistītās	5	5
Kopsavilkums	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.