This two-day workshop provides a comprehensive exploration of mixed models and growth curves, focusing on the practical application of these methods in Stata and R for analyzing longitudinal and hierarchical data. Participants will gain essential skills in specifying, fitting, and interpreting mixed models, enhancing their research capabilities in fields such as psychology, sociology, and public health.

Topics Covered
Introduction to Mixed Models , Fixed vs. Random Effects , Variance Components , Theoretical Foundations , Practical example with real data , Loading Data in Stata , Model Specification , Fitting Mixed Models , Interpreting Stata Output , Model Diagnostics , Data Preparation in R , Package Selection , Specifying Models in R , Visualizing Model Results , Model Evaluation , Growth Curve Basics , Model Fitting Techniques , Longitudinal Data Structures , Understanding Spline Models , Applications in Research , Fitting growth curve models , Interpreting results , Visualising Results , Growth Curve Models in R , Interpreting Outputs