This workshop provides an applied overview of principles and methods for longitudinal data analysis, with hands-on examples in R. Topics include types of longitudinal data, data manipulation and visualization, statistical methods for longitudinal analysis (including mixed-effects models and structural equation models), longitudinal measurement invariance, handling missing data, and separating within-person and between-person effects. Participants are encouraged to bring a laptop with R and RStudio installed for interactive exercises. This workshop is intended for participants with experience using R and RStudio. Prior experience with longitudinal data analysis, though helpful, is not required.

Isaac Petersen, associate professor in Psychological and Brain Sciences and CSSI researcher affiliate, will run the workshop.

Register for the workshop here!

This workshop is sponsored by the Center for Social Science Innovation