Advanced Statistical Methods for Psychological Science

This graduate-level course provides a practical introduction to advanced statistical methods in psychological research. It begins with a brief review of generalized linear models and interactions, and progresses to cover mediation and moderation models. Students are thereafter introduced to Bayesian statistics, followed by a deep exploration of hierarchical/mixed-effect models from both frequentist and Bayesian perspectives. In addition to these topics, the course also examines dimensionality reduction techniques, non-parametric statistics, and alternatives to traditional null-hypothesis significance testing.