手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| 条件付きプロセス分析（媒介変数の調整）× | 操作変数法（IV/2SLS）による推定× | |
|---|---|---|
| 分野 | 因果推論 | 因果推論 |
| 系統 | Regression model | Regression model |
| 提唱年≠ | 2018 | 2009 |
| 提唱者≠ | Andrew F. Hayes (PROCESS framework); Preacher, Rucker & Hayes (moderated mediation) | Angrist & Pischke (textbook treatment); Stock & Yogo (weak-instrument theory) |
| 種類≠ | Regression-based conditional process model | Instrumental-variables regression |
| 原典≠ | 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 |
| 別名 | moderated mediation, moderated mediation analysis, PROCESS model, Hayes PROCESS conditional process model | instrumental variables, IV estimation, 2SLS, instrumental variable regression |
| 関連 | 5 | 5 |
| 概要≠ | 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データセット ↗ |
|
|