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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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Is it worth reporting small fixed-effect $R^2$ (marginal $R^2$), large model $R^2$ (conditio...

It seems strange that the conditional R^2 goes down when you add the fixed effects. I know Nagakawa and Schielzeth talk about this kind of thing, but it seems less than useful if adding significant pr …
Daniel Ezra Johnson's user avatar