In this video, I will demonstrate how to fit a linear mixed effect model. I will discuss: What is a mixed effect model Fixed effects Random effects: grouping or clustering factor The intercept The slope Organizing data Model fitting and model comparison: AIC, BIC, LL Checking the assumptions Variance components: variance and mean Intraclass correlation (ICC)
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