Mixed Models, Hierarchical Linear Models, and Multilevel Models: A simple explanation

Do you want to take a class with me? Visit https://simplistics.net to register for a class. You can either do "live" classes, where you'll learn from me directly via zoom. Or you can register for "self-guided" courses, complete with a schedule, discussion boards, quizzes, readings, etc. 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: https://www.youtube.com/playlist?list=PL8F480DgtpW9W-PEX0f2gHl8SnQ7PtKBv You can see my older version of the video here: https://www.youtube.com/watch?v=Vfr3d1NIppU&list=PL8F480DgtpW9QNBcHSTN3F8Mz_wg1jpFM&index=11&t=7s&ab_channel=QuantPsych