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Using Multilevel Regression Mixture Models to Identify Level-1 Heterogeneity in Level-2 Effects

This paper proposes a novel exploratory approach for assessing how the effects of level-2 predictors differ across level-1 units. Multilevel regression mixture models are used to identify latent classes at level-1 that differ in the effect of one or more level-2 predictors. Monte Carlo simulations a...

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Detalhes bibliográficos
Publicado no:Struct Equ Modeling
Main Authors: Van Horn, M. Lee, Feng, Yuling, Kim, Minjung, Lamont, Andrea, Feaster, Daniel, Jaki, Thomas
Formato: Artigo
Idioma:Inglês
Publicado em: 2015
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4888808/
https://ncbi.nlm.nih.gov/pubmed/27274654
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10705511.2015.1035437
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