References

Barfort, Sebastian, Robert Klemmensen, and Erik Gahner Larsen. 2020. “Longevity Returns to Political Office.” Political Science Research and Methods. https://doi.org/10.1017/psrm.2019.63.

Bryan, Jenny. 2019. STAT 545: Data Wrangling, Exploration, and Analysis with r. https://stat545.com/.

Diez, David M, Christopher D Barr, and Mine Çetinkaya-Rundel. 2014. Introductory Statistics with Randomization and Simulation. First. Scotts Valley, CA: CreateSpace Independent Publishing Platform. https://www.openintro.org/stat/textbook.php?stat_book=isrs.

Downey, Allen. 2012. Think Bayes: Bayesian Statistics Made Simple. Green Tea Press.

Enos, Ryan D. 2014. “Causal Effect of Intergroup Contact on Exclusionary Attitudes.” Proceedings of the National Academy of Sciences 111 (10): 3699–3704. https://doi.org/10.1073/pnas.1317670111.

Gelman, Andrew, Jennifer Hill, and Aki Vehtari. 2020. Regression and Other Stories. Analytical Methods for Social Research. Cambridge University Press. https://doi.org/10.1017/9781139161879.

Grolemund, Garrett, and Hadley Wickham. 2017. R for Data Science. First. Sebastopol, CA: O’Reilly Media. https://r4ds.had.co.nz/.

Irizarry, Rafael A. 2019. Introduction to Data Science: Data Analysis and Prediction Algorithms with r. First. Boca Raton, FL: CRC Press.

Kim, Albert Y., and Chester Ismay. 2019. Statistical Inference via Data Science: A ModernDive into r and the Tidyverse. First. Boca Raton, FL: CRC Press.

Kuhn, Max, and Julia Silge. 2020. Tidy Modeling with r.

Legler, Julie, and Paul Roback. 2019. Broadening Your Statistical Horizons: Generalized Linear Models and Multilevel Models.

Timbers, Tiffany-Anne, Trevor Campbell, and Melissa Lee. 2021. Data Science: A First Introduction. https://ubc-dsci.github.io/introduction-to-datascience/.