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。
| 有条件过程分析（有调节的中介）× | 工具变量法/两阶段最小二乘法 (IV/2SLS)× | |
|---|---|---|
| 领域 | 因果推断 | 因果推断 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 2018 | 2009 |
| 提出者≠ | Andrew F. Hayes (PROCESS framework); Preacher, Rucker & Hayes (moderated mediation) | Angrist & Pischke (textbook treatment); Stock & Yogo (weak-instrument theory) |
| 类型≠ | Regression-based conditional process model | Instrumental-variables regression |
| 开创性文献≠ | Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). The Guilford Press. ISBN: 978-1462534654 | Angrist, J. D. & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| 别名 | moderated mediation, moderated mediation analysis, PROCESS model, Hayes PROCESS conditional process model | instrumental variables, IV estimation, 2SLS, instrumental variable regression |
| 相关 | 5 | 5 |
| 摘要≠ | Conditional process analysis is Andrew F. Hayes's regression-based PROCESS framework (2018) that combines mediation and moderation in a single model, testing how an indirect effect changes across levels of a moderator. It quantifies conditional indirect and conditional direct effects and tests them with bootstrap confidence intervals. | IV/2SLS is a two-stage estimation method that recovers the causal effect of an endogenous regressor by isolating the part of its variation driven by an external instrument. It is the workhorse identification strategy in modern applied econometrics, developed at length in Angrist and Pischke's Mostly Harmless Econometrics (2009). |
| ScholarGate数据集 ↗ |
|
|