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

Quant Psych 82,431 lượt xem 3 years ago
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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

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