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Learning Objectives
#1: What is the assumption of independence?
#2: Two reasons violating independence is problematic
#3: Mixed models vs. HLM vs. Multilevel models, etc.
#4. Understand what a mixed model is doing (geometrically)
#5. FIxed vs. Random Effects
#6. Visual representation of fixed/random slopes/intercepts

This is part of a playlist on multivariate statistics:    • Multivariate Statistics  

You can see my older version of the video here:    • Mixed Models, Hierarchical Linear Mod...