Repeated measures as a multilevel model

This lectures looks at how to analyse repeated measures designs using the general linear model. We begin by discussing repeated measures deisgns. Then we discuss how repeated measures designs are a form of hierarchical data structure. We look at examples using both a one-way and two-way factorial design. We use the nlme package in R to analyse these and look at the interpretation, simple effects and post hoc tests.
There is an alternative version of this lecture using a more traditional RM-ANOVA approach (with the afex package) at • Repeated measures (afex)
Learn R alongside these lectures with the discovr package (www.discovr.ro...)
Suggested soundtrack:
Devin Townsend: Deathray ( • Deathray (Live) )