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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.

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Discrepancy between `anova` and `summary` outputs with `lmer` in the presence of interactions [duplicate]

I have a model in R that looks like this mdl.CL <- lmer(Y.CL ~ 1 + TL*PL*GO + (1|SUBJ), data = data.CL) in which TL has 3 levels, PL 6 levels, and GO 2 levels only. Now, I'd like to test the eff …
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