On the Common but Problematic Specification of Conflated Random Slopes in Multilevel Models.
Sign Up to like & getrecommendations! Published in 2023 at "Multivariate behavioral research"
DOI: 10.1080/00273171.2023.2174490
Abstract: For multilevel models (MLMs) with fixed slopes, it has been widely recognized that a level-1 variable can have distinct between-cluster and within-cluster fixed effects, and that failing to disaggregate these effects yields a conflated, uninterpretable… read more here.
Keywords: conflation; conflated random; random component; multilevel models ... See more keywords
The Importance of Random Slopes in Mixed Models for Bayesian Hypothesis Testing.
Sign Up to like & getrecommendations! Published in 2022 at "Psychological science"
DOI: 10.1177/09567976211046884
Abstract: Mixed models are gaining popularity in psychology. For frequentist mixed models, previous research showed that excluding random slopes-differences between individuals in the direction and size of an effect-from a model when they are in the… read more here.
Keywords: hypothesis testing; random slopes; bayesian hypothesis; mixed models ... See more keywords