- Schedule of Classes - January 31, 2019 7:14PM EST
- Course Catalog - January 31, 2019 7:15PM EST
Course information provided by the Courses of Study 2018-2019.
Introductory seminar on research methods for addressing causal questions in observational and experimental settings. The course focuses on three topics: methods for causal inference (potential outcomes framework, experimental and quasi-experimental designs, matching), the design of experiments (between-/within-subjects designs, blocking, statistical power), and approaches to open science (replication, pre-registration). Students learn (i) key methodological skills for drawing credible causal conclusions from observational and (quasi-)experimental data, and (ii) how to present these scientific methods, results, and warranted conclusions.
When Offered Fall.
Regular Academic Session.
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
- TRBill and Melinda Gates Hll 406
PhD seminar on quantitative research methods for drawing causal inferences from observational and experimental settings with a focus on the optimal design of randomized experiments.
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