I hope you all don't mind this question, but I need help interpreting output
for a linear mixed effects model output I've been trying to learn to do in R. I
am new to longitudinal data analysis and linear mixed effects regression. I
have a model I fitted with weeks as the time predictor, and score on an
employment course as my y. I modeled score with weeks (time) and several fixed
effects, sex and race. My model includes random effects. I need help
understanding what the variance means. The output is the following:
Random effects
Group Name Variance
EmpId intercept 980.236
weeks 13.562
Residual 23.256
I really appreciate the help. Thanks.
Zeda
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