Come take a class with me! Visit to sign up for self-guided or live courses. I hope to see you there! Video about determining whether variables are fixed or random: 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: Undergraduate curriculum playlist (GLM-based approach): Graduate curriculum playlist (also GLM-based approach): Exonerating EDA paper: Download JASP (and visual modeling module):