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| Modello di Curva di Crescita Latente (LGC)× | Modellazione di equazioni strutturali (SEM)× | |
|---|---|---|
| Campo | Statistica | Statistica |
| Famiglia | Latent structure | Latent structure |
| Anno di origine≠ | 1990 | 1970 |
| Ideatore≠ | Meredith & Tisak | Karl Jöreskog (LISREL framework, 1970s) |
| Tipo≠ | Latent variable / longitudinal growth model | Latent variable / causal modeling |
| Fonte seminale≠ | Meredith, W. & Tisak, J. (1990). Latent Curve Analysis. Psychometrika, 55(1), 107–122. DOI ↗ | 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 |
| Correlati | 5 | 5 |
| Sintesi≠ | 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. |
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