Mixed Effects Models: A Conceptual Overview Using R @AnotherPsi
Mixed Effects Models: A Conceptual Overview Using R  @AnotherPsi
Uploaded August 2022 | Updated September 2026, 29 minutes ago
This is a bit of a seminar on mixed effects/ hierarchical / clustered models. I go over the difference between fixed effects vs random effects and how they work together in a single model. I cover variance components only models, random slopes and random intercepts.

00:00 a bit of background
07:57 the R stuff
Mixed Effects Models: A Conceptual Overview Using RThorndike - Operant conditioningMunchausen Syndrome By Proxy: A Gypsy Rose Case StudyThe Robbers Cave ExperimentJane Elliotts Blue Eyes Brown Eyes ExperimentIntroduction to psychology: Sigmund FreudGenie Wiley: Americas Feral ChildTutorial: Effect sizes - Part 3 (Phi, Cramers V)Paris SyndromeDarker Sides of Humanity: The Bystander Apathy ExperimentJersusalem SyndromeMental Health Benefits of Having Pets
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Mixed Effects Models: A Conceptual Overview Using R

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