Eye-Tracking Analysis Workshop



These are slides from a two-day Eye-Tracking Analysis workshop given at San Diego State University for the SDSU/UCSD Joint Doctoral Program in Language and Communication Sciences in January 2019. The purpose of the workshop was to provide a hands-on introduction to preprocessing eye-tracking data and analyzing those data using growth curve analysis (GCA). The focus was on eye-tracking data, but GCA is broadly applicable to longitudinal or time course data and many of the preprocessing steps apply to other kinds of physiological measures (such as EEG). Day 1 focused on general data "wrangling" and specifically preprocessing eye-tracking data. Day 2 focused on growth curve analysis. The workshop was conducted in R (and RStudio) using the following packages:

Workshop Slides

Day 1, Part 1Data Wrangling
Day 1, Part 2Pre-Processing Eye-Tracking Data
Day 2, Part 1GCA Basics
Day 2, Part 2Non-Linear Change, Within-Subject Effects
Day 2, Part 3Logistic GCA
Day 2, Part 4Visualizing Higher-Order Polynomial Terms
Day 2, Part 5Quantifying and Analyzing Individual Differences
Final exercise solution