Week 10

Overview

Learning Goals

• Understand multi-level (linear-mixed) models
• Course Wrap-Up

Slides

TipSlides Mon March 09

Lots of LMM Resources

General

• Hierarchical Models Viz
• Standard Operating Procedures for LMMs by D2P2 Lab
• Why I don’t use the term “fixed and random effects” by Andrew Gelman
• What is the upside of treating a factor as random? (Great answer by Jake Westfall, another well-respected developer of LMM tools and techniques)
• Centering in LMMs
• How to Center in LMMs
• bossanova comparison to rm-ANOVA

R specific Resources

• Mixed Models with R
• A tutorial for performing LMM analyses by Bodo Winter (Eshin really enjoyed this when he was in grad-school)
• R lme4 Random Effects Cheatsheet
• Introducing linear mixed-effects models
• Mixed Models Workshop Tutorial

Essential Readings

• Clark, H. H. (1973). The language-as-fixed-effect fallacy: A critique of language statistics in psychological research. Journal of Verbal Learning and Verbal Behavior, 12(4), 335–359.
• Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language, 59(4), 390–412.
• Barr, D. J., Levy, R., Scheepers, C., & Tily, H. J. (2013). Random effects structure for confirmatory hypothesis testing: Keep it maximal. Journal of Memory and Language, 68(3), 255–278.