Foundations of Statistical Methods for Psychological Science

This graduate-level course covers the statistical and computational foundations of psychological methods. It is required for all first-year Ph.D. students in Psychology. Specific topics include probability theory, design-based causal inference, regression analysis, and the basics of multilevel modeling. In this course, we use R, R Markdown, and Git/GitHub.