PSCI-3300-Political-Research-Methods-SP23

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PSCI-3300-Political-Research-Methods-SP23

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Course Content for PSCI 3300 Political Science Research Methods, Spring 2023

PSCI-3300-Political-Research-Methods-SP23 최신버젼 다운로드

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# PSCI 3300 Political Science Research Methods, Spring 2023 <img src='assets/logo/psci-3300-sp23-dag-trimmed-hex.png' align="right" height="325" />

[A. Jordan Nafa](https://www.ajordannafa.com/) • [Department of
Political Science](https://politicalscience.unt.edu/) • 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](https://mc-stan.org/), and
[`{brms}`](https://github.com/paul-buerkner/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.

## Acknowledgments

The content of this class relies in part on materials from courses
designed by [Andrew
Heiss](https://github.com/andrewheiss/evalsp23.classes.andrewheiss.com/blob/main/LICENSE.md),
[Matthew](https://github.com/mattblackwell/gov2003-f21-site)
[Blackwell](https://github.com/mattblackwell/gov50-f22-site), and
[Thomas J. Leeper](https://github.com/leeper/designcourse). 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.

## Licenses

**Text and figures:** All text and images are licensed under a Creative
Commons Attribution-ShareAlike 4.0 International ([CC-BY-SA
4.0](https://creativecommons.org/licenses/by-sa/4.0/)) license.

**Code:** All code is licensed under the [BSD 3-Clause
License](LICENSE.md).

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