Growth Curve Analysis Workshop



These are slides from a one-day virtual Growth Curve Analysis (GCA) workshop organized by the graduate student association at Rutgers University in May 2020. The purpose of the workshop was to provide a hands-on introduction to using GCA to analyze longitudinal or time course data. The workshop was conducted in R (and RStudio) using the following packages:

For pre-processing eye-tracking data, I recommend our gazeR package (Geller et al., in press), which also contains the GCA helper functions (it does not have all of the example data sets for this workshop).

Workshop Slides

Part 1Introduction (challenges of time course data), GCA basics
Part 2Modeling nonlinear change
Part 3Within-subject effects, random effects structures
Part 4Logistic GCA
Part 5Quantifying and analyzing individual differences
Exercise solutions