Recovering Crossed Random Effects in Mixed-Effects Models Using Model Averaging

Recovering Crossed Random Effects in Mixed-Effects Models Using Model Averaging

Random effects contain crucial information to understand the variability of the processes under study in mixed-effects models with crossed random effects (MEMs-CR). Given that model selection makes all-or-nothing decisions regarding to the inclusion of model parameters, we evaluated if model averagi...

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Bibliographic Details
Main Authors: José Ángel Martínez-Huertas, Ricardo Olmos
Format: Article
Language:English
Published: PsychOpen GOLD/ Leibniz Institute for Psychology 2022-12-01
Series:Methodology
Subjects:
mixed-effects models
crossed random effects
random effects
model averaging
akaike weights
bayesian model averaging
aic
bic
Online Access:https://meth.psychopen.eu/index.php/meth/article/view/9597

Internet

https://meth.psychopen.eu/index.php/meth/article/view/9597

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