Course Description
Study design and analysis for causal inference in experiments, quasi-experiments, and observational studies.
Athena Title
Causal Inference
Prerequisite
A course covering multiple regression is required.
Semester Course Offered
Offered spring
Grading System
A - F (Traditional)
Student learning Outcomes
- Students will be able to specify the conditions and assumptions that uphold causal inferences in different types of designs.
- Students will be able to utilize proper analytical models to estimate causal effects in different types of designs.
- Students will be able to summarize published research that focuses on study design for causal effects.
- Students will be able to perform, interpret, and defend statistical power analyses of different types of designs for causal inferences.
Topical Outline
- The logic and control of experimentation
- Designs with blocking and nesting
- Optimal sample allocations
- Regression discontinuity
- Instrumental variables
- Propensity score matching, mediation, and moderation
Institutional Competencies Learning Outcomes
Analytical Thinking
The ability to reason, interpret, analyze, and solve problems from a wide array of authentic contexts.
Syllabus
Public CV
