The Impact of Ignoring Random Slopes in a 1 → 1 → 1 Mediation Model in the Presence of Upper-Level Mediator-Outcome Confounding
In behavioral sciences, researchers frequently employ mediation analysis with longitudinal data. A common scenario involves the 1 → 1 → 1 mediation model, where the Predictor X, Mediator(s) M, and Outcome Y are all measured at different occasions (Level 1) within individuals (Level 2). The standard...
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| Asıl Yazarlar: | , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
PsychOpen GOLD/ Leibniz Institute for Psychology
2025-12-01
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| Seri Bilgileri: | Methodology |
| Konular: | |
| Online Erişim: | https://doi.org/10.5964/meth.18093 |
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