Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Медиаторный анализ× | Анализ модерации (взаимодействия)× | |
|---|---|---|
| Область≠ | Статистика | Причинно-следственный вывод |
| Семейство≠ | Hypothesis test | Regression model |
| Год появления≠ | 1986 | 2018 |
| Автор метода≠ | Baron & Kenny | Aiken & West (1991); Hayes (PROCESS, 2018) |
| Тип≠ | Indirect effects / path test | Linear regression with interaction term |
| Основополагающий источник≠ | Baron, R. M. & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research. Journal of Personality and Social Psychology, 51(6), 1173–1182. link ↗ | Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis (2nd ed.). Guilford Press. ISBN: 978-1462534654 |
| Другие названия | indirect effects analysis, path-based mediation, PROCESS macro mediation, Aracılık Analizi (Mediation / PROCESS) | interaction analysis, moderated regression, simple moderation, Düzenleyici Değişken Analizi (Moderation / İnteraksiyon) |
| Связанные | 5 | 5 |
| Сводка≠ | Mediation analysis is a statistical procedure that tests whether the effect of an independent variable X on an outcome Y operates wholly or partly through a third variable M, called the mediator. Formalised by Baron and Kenny in 1986, it decomposes the total effect of X on Y into a direct path (c′) and an indirect path (a × b), quantifying how much of the relationship is carried by the mediating mechanism. | 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). |
| ScholarGateНабор данных ↗ |
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