Regression model
有条件过程分析（有调节的中介）
有条件过程分析是 Andrew F. Hayes 基于回归的 PROCESS 框架 (2018)，它将中介和调节结合在一个模型中，检验间接效应如何随调节变量的水平而变化。它量化了有条件的间接效应和有条件的直接效应，并使用自举置信区间对其进行检验。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). The Guilford Press. ISBN: 978-1462534654
- Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007). Addressing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions. Multivariate Behavioral Research, 42(1), 185-227. DOI: 10.1080/00273170701341316 ↗
如何引用本页
ScholarGate. (2026, June 1). Conditional Process Analysis (Moderated Mediation). ScholarGate. https://scholargate.app/zh/causal-inference/conditional-process-analysis
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 贝叶斯结构方程模型 (BSEM)贝叶斯↔ compare
- 因果中介分析（自然直接效应和自然间接效应）因果推断↔ compare
- 普通最小二乘法 (OLS) 回归计量经济学↔ compare
- 回归断点设计 (Regression Discontinuity Design, RDD)因果推断↔ compare
- 工具变量法/两阶段最小二乘法 (IV/2SLS)因果推断↔ compare