Linear mixed effect models in Jamovi | 1 | Introduction

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)