PADM 576: Multivariate Statistical Methods

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Download my Spring 2024 Syllabus

Course Description

This course introduces students to applications of multivariate statistical procedures used by scientists and practitioners. The course will focus on both theoretical and practical uses of statistics. The student completing this course will have a greater understanding of causal inference, technical knowledge of multivariate statistics, and competency with the software used to estimate them. They will be able to apply this knowledge when reading research articles and conceptualizing statistical analyses for future research projects. Further, the course will develop students’ skills as academicians by increasing their capability of executing rigorous quantitative research.

Course Schedule

Week 1: Introductions, Replication, and Publication (1/9) (Slides)

Week 2: Snow Day (1/16)

  • Campus was closed due to snow. Play around with R on Posit.Cloud.

Week 3: Let’s Learn R and Quarto (1/23) (Slides)

Week 4: Let’s Learn Causal Inference (1/30) (Slides)

Week 5: OLS Review (2/6) (Slides)

Week 6: Hierarchical Linear Modeling (2/13) (Slides)

Week 7: GLMs: Dichotomous, Count, and Ordinal DVs (2/20) (Slides)

Week 8: Difference-in-Differences (2/27) (Slides)

Week 9: Spring Break (3/5)

  • No Class

Week 10: Fixed Effects (3/12) (Slides)

Week 11: Instrumental Variables (3/19) (Slides)

Week 12: Regression Discontiunity (3/26) (Slides)

Week 13: Course Paper (4/2)

  • No class meeting, work on your final papers

Week 14:  Factor and Cluster Analyses (4/9) (Slides)

Week 15: Structural Equation Modeling (4/16) (Slides)

Week 16: Duration Models (4/23) (Slides)

Week 17: Finals Week

  • Final Paper Due Tuesday April 30 by 11:59pm