A. Jordan Nafa • Department of Political Science • University of North Texas

This github repository is home to the content for my Spring 2023 political science research methods and causal inference course at the University of North Texas. The class is taught from a primarily Bayesian perspective using R, Stan, and {brms} and focuses heavily on reproducibility and application. This repository will be updated throughout the Spring 2023 semester with lecture materials for the course.

To download the current version of the course content, you can execute the following command from a desktop terminal

git clone --recursive https://github.com/ajnafa/PSCI-3300-Political-Research-Methods-SP23.git

Due to copyright limitations, PDF versions of the assigned readings for the course are not provided via github but are available upon request.

The content of this class relies in part on materials from courses designed by Andrew Heiss, Matthew Blackwell, and Thomas J. Leeper. I thank the authors for making their instructional materials publicly available. Acknowledgment here should not be construed as endorsement of any of the content or materials in this repository.

Text and figures: All text and images are licensed under a Creative Commons Attribution-ShareAlike 4.0 International (CC-BY-SA 4.0) license.

Code: All code is licensed under the BSD 3-Clause License.