Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Однофакторный дисперсионный анализ× | Моделирование структурными уравнениями (SEM)× | |
|---|---|---|
| Область | Статистика | Статистика |
| Семейство≠ | Hypothesis test | Latent structure |
| Год появления≠ | 1925 | 1970 |
| Автор метода≠ | Ronald A. Fisher | Karl Jöreskog (LISREL framework, 1970s) |
| Тип≠ | Parametric mean comparison | Latent variable / causal modeling |
| Основополагающий источник≠ | Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗ | Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540 |
| Другие названия | one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA | Yapısal Eşitlik Modellemesi (SEM), structural equation modelling, covariance structure analysis, latent variable modeling |
| Связанные≠ | 4 | 5 |
| Сводка≠ | One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925. | 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. |
| ScholarGateНабор данных ↗ |
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