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Mixed (aka multilevel or hierarchical) models are linear models that include both fixed effects and random effects. They are used to model longitudinal or nested data.

1 vote
1 answer
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How to interpret direction of relationship between continuous predictor and outcome variable...

Sorry if this is a very simple question. I have run the following mixed model, which tests for the effect of two fixed effects (group and IQ) and participant as an random effect on an outcome (s). Her …
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1 vote
0 answers
1k views

Understanding results of linear mixed model in R (summary and ANOVA)

Background I am running a mixed linear model with four fixed predictors and (most of) their interactions. I am quite new to these models and I am trying to understand how I should interpret my results …
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