hello all, I'm trying to gain a greater understanding of how variance works in the output from PROC MIXED and hoping you can help! I am using PROC MIXED to look at main effects, two-ways interactions and a three way interaction between three predictor variables on one dependent variable. My analyses has both random (subjects) and fixed effects (predictors), and is in the form of a nested, repeated-measures design. I am curious about if there is a way to determine the unique amount of variance in the dependent variable accounted for by each predictor. Also, I would like to know if there are any available indices of the common or shared variance between variables. For example, for the first (single [no interaction]) predictor that I entered, when I am looking at the estimates in the solutions for fixed effects, does the estimate for that variable refer to the unique variance accounted for by that variable alone? If not, is there a way to get this information? Thanks so much!
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