Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Daudzlīmeņu mediācijas analīze× | Fiksēto efektu paneļa datu modelis× | |
|---|---|---|
| Nozare≠ | Statistika | Ekonometrija |
| Saime≠ | Hypothesis test | Regression model |
| Izcelsmes gads≠ | 2003 | 2014 |
| Autors≠ | Kenny, Korchmaros & Bolger | Hsiao (textbook treatment); within transformation of panel data |
| Tips≠ | Multilevel structural model | Panel data regression |
| Pirmavots≠ | Kenny, D. A., Korchmaros, J. D., & Bolger, N. (2003). Lower level mediation in multilevel models. Psychological Methods, 8(2), 115–128. DOI ↗ | Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗ |
| Citi nosaukumi≠ | multilevel mediation, hierarchical mediation, cross-level mediation, 1-1-1 mediation | fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli |
| Saistītās≠ | 8 | 5 |
| Kopsavilkums≠ | Multilevel mediation analysis is a parametric structural method that estimates indirect (mediated) effects within hierarchically nested data, such as students within schools or employees within organisations. Formalised for lower-level mediation in multilevel models by Kenny, Korchmaros and Bolger (2003), it simultaneously handles individual-level (1-1-1) and group-level (2-2-1 or 2-1-1) mediation pathways in a single coherent framework. | 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). |
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