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: https://youtu.be/Lz-IBUxQG5A?si=-mrFH9ESUKzvA4vw 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