Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Анализ путей× | Структурное моделирование (Structural Equation Modeling)× | |
|---|---|---|
| Область≠ | Статистика | Статистика исследований |
| Семейство≠ | Latent structure | Process / pipeline |
| Год появления | 1921 | 1921 |
| Автор метода | Sewall Wright | Sewall Wright |
| Тип≠ | Causal / mediation model | Method |
| Основополагающий источник≠ | Wright, S. (1921). Correlation and causation. Journal of Agricultural Research, 20(7), 557–585. link ↗ | Jöreskog, K. G., & Sörbom, D. (1973). LISREL: A general computer program for estimating a linear structural equation system. Research Bulletin 73-5. University of Stockholm. link ↗ |
| Другие названия | PA, path coefficient analysis, observed-variable SEM, causal path modeling | SEM, path analysis, latent variable modeling, causal modeling |
| Связанные≠ | 5 | 3 |
| Сводка≠ | Path analysis tests a researcher-specified causal diagram among observed variables by decomposing their intercorrelations into direct effects, indirect (mediated) effects, and spurious associations. Developed by Sewall Wright in 1921, it is the observed-variable special case of structural equation modeling and remains a standard tool for theory-driven multivariate causal inference. | Structural equation modeling (SEM) is a comprehensive statistical framework combining path analysis (Sewall Wright, 1921) and confirmatory factor analysis to test complex causal models linking observed and latent variables. Formalized by Jöreskog (1973) with LISREL software, SEM enables simultaneous estimation of measurement relationships (how variables measure latent constructs) and structural relationships (how constructs influence outcomes), making it powerful for theory testing in psychology, epidemiology, organizational research, and health sciences where complex mediation, moderation, and latent processes require integrated analysis. |
| ScholarGateНабор данных ↗ |
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