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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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Detalles Bibliográficos
Autores principales:	Kim, Soyoung, Jeong, Yoonhwa, Hong, Sehee
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Psychology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7965978/ https://www.ncbi.nlm.nih.gov/pubmed/33746856 http://dx.doi.org/10.3389/fpsyg.2021.637645

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