Simple Explanation of Mixed Models (Hierarchical Linear Models, Multilevel Models)

Come take a class with me! Visit http://simplistics.net to sign up for self-guided or live courses. I hope to see you there!

Video about determining whether variables are fixed or random:    • How to decide whether an effect is fi...  

Learning Objectives:
* The assumption of independence and "duplicating" your dataset
* Consequences of violating independence
* HLM vs mixed models, vs multilevel models
* What mixed models are doing geometrically
* Fixed vs. random effects
* Visual representation of
- random slope/intercept models
- random slopes models
- random intercepts models

And here's a paper I wrote about my eight step approach to data analysis: https://psyarxiv.com/r8g7c/


Undergraduate curriculum playlist (GLM-based approach): https://www.youtube.com/playlist?list...
Graduate curriculum playlist (also GLM-based approach): https://www.youtube.com/playlist?list...
Exonerating EDA paper: https://psyarxiv.com/5vfq6/
Download JASP (and visual modeling module): www.jasp-stat.org