Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Análisis de Moderación (Interacción)× | Modelo de Efectos Fijos para Datos de Panel× | |
|---|---|---|
| Campo≠ | Inferencia causal | Econometría |
| Familia | Regression model | Regression model |
| Año de origen≠ | 2018 | 2014 |
| Autor original≠ | Aiken & West (1991); Hayes (PROCESS, 2018) | Hsiao (textbook treatment); within transformation of panel data |
| Tipo≠ | Linear regression with interaction term | Panel data regression |
| Fuente seminal≠ | Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis (2nd ed.). Guilford Press. ISBN: 978-1462534654 | Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗ |
| Alias | interaction analysis, moderated regression, simple moderation, Düzenleyici Değişken Analizi (Moderation / İnteraksiyon) | fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli |
| Relacionados | 5 | 5 |
| Resumen≠ | 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). | The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014). |
| ScholarGateConjunto de datos ↗ |
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