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The Impact of Ignoring a Crossed Factor in Cross-Classified Multilevel Modeling
The present study investigated estimate biases in cross-classified random effect modeling (CCREM) and hierarchical linear modeling (HLM) when ignoring a crossed factor in CCREM considering the impact of the feeder and the magnitude of coefficients. There were six simulation factors: the magnitude of...
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| Publicado no: | Front Psychol |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7965978/ https://ncbi.nlm.nih.gov/pubmed/33746856 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpsyg.2021.637645 |
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