Earlier this month I taught a two-day workshop on growth curve analysis at Georg-Elias-Müller Institute for Psychology in Göttingen, Germany. The purpose of the workshop was to provide a hands-on introduction to using GCA to analyze longitudinal or time course data, with a particular focus on eye-tracking data. All of the materials for the workshop are now available online (http://dmirman.github.io/GCA2018.html), including slides, examples, exercises, and exercise solutions. In addition to standard packages (ggplot2, lme4, etc.), we used my psy811 package for example data sets and helper functions.
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