方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 路径分析× | 调节（交互）分析× | |
|---|---|---|
| 领域≠ | 统计学 | 因果推断 |
| 方法族≠ | Latent structure | Regression model |
| 起源年份≠ | 1921 | 2018 |
| 提出者≠ | Sewall Wright | Aiken & West (1991); Hayes (PROCESS, 2018) |
| 类型≠ | Causal / mediation model | Linear regression with interaction term |
| 开创性文献≠ | Wright, S. (1921). Correlation and causation. Journal of Agricultural Research, 20(7), 557–585. link ↗ | Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis (2nd ed.). Guilford Press. ISBN: 978-1462534654 |
| 别名 | PA, path coefficient analysis, observed-variable SEM, causal path modeling | interaction analysis, moderated regression, simple moderation, Düzenleyici Değişken Analizi (Moderation / İnteraksiyon) |
| 相关 | 5 | 5 |
| 摘要≠ | 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. | Moderation analysis tests whether the effect of a predictor X on an outcome Y changes with the level of a third variable W, the moderator. It is estimated within a regression framework through an interaction term X×W, popularised by Aiken & West (1991) and Hayes's PROCESS macro (2018). |
| ScholarGate数据集 ↗ |
|
|