Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Условный процессный анализ (модерируемая медиация)× | Two-Stage Least Squares (2SLS)× | |
|---|---|---|
| Область | Причинно-следственный вывод | Причинно-следственный вывод |
| Семейство | Regression model | Regression model |
| Год появления≠ | 2018 | 2009 |
| Автор метода≠ | Andrew F. Hayes (PROCESS framework); Preacher, Rucker & Hayes (moderated mediation) | Angrist & Pischke (textbook treatment); Stock & Yogo (weak-instrument theory) |
| Тип≠ | Regression-based conditional process model | Instrumental-variables regression |
| Основополагающий источник≠ | 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 |
| Другие названия | moderated mediation, moderated mediation analysis, PROCESS model, Hayes PROCESS conditional process model | instrumental variables, IV estimation, 2SLS, instrumental variable regression |
| Связанные | 5 | 5 |
| Сводка≠ | 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). |
| ScholarGateНабор данных ↗ |
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