Linear mixed effect models in Jamovi | 4 | Fit and degrees of freedom

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
Intra-class correlation (ICC)

[@zorawey5587]

Thank you for sharing! It is helpful for my dissertation. Look for the next one!❤

[@mahmoudalwakeel8766]

Is the next video being released? I can not find it

[@VahidAryadoust]

Maybe in the future. Thank you for your interest in the videos.