Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Модель латентної кривої зростання (LGC)× | Моделювання структурними рівняннями (SEM)× | |
|---|---|---|
| Галузь | Статистика | Статистика |
| Родина | Latent structure | Latent structure |
| Рік появи≠ | 1990 | 1970 |
| Автор методу≠ | Meredith & Tisak | Karl Jöreskog (LISREL framework, 1970s) |
| Тип≠ | Latent variable / longitudinal growth model | Latent variable / causal modeling |
| Основоположне джерело≠ | 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 |
| Інші назви | latent growth model, LGC, growth curve model, Gizil Büyüme Eğrisi Modeli | Yapısal Eşitlik Modellemesi (SEM), structural equation modelling, covariance structure analysis, latent variable modeling |
| Пов'язані | 5 | 5 |
| Підсумок≠ | 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. |
| ScholarGateНабір даних ↗ |
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