Referencias

Bartoš, František, Alexandra Sarafoglou, Henrik R Godmann, Amir Sahrani, David Klein Leunk, Pierre Y Gui, David Voss, et al. 2023. “Fair Coins Tend to Land on the Same Side They Started: Evidence from 350,757 Flips.” arXiv Preprint arXiv:2310.04153.

Cunningham, Scott. 2021. Causal Inference: The Mixtape. Yale university press.

Herzog, Michael H, Gregory Francis, and Aaron Clarke. 2019. Understanding Statistics and Experimental Design: How to Not Lie with Statistics. Springer Nature.

Huntington-Klein, Nick. 2021. The Effect: An Introduction to Research Design and Causality. Chapman; Hall/CRC.

Lakens, Daniel. 2022. “Sample Size Justification.” Collabra: Psychology 8 (1): 33267.

Maier, Maximilian, and Daniël Lakens. 2022. “Justify Your Alpha: A Primer on Two Practical Approaches.” Advances in Methods and Practices in Psychological Science 5 (2): 25152459221080396.

McCrary, Justin. 2008. “Manipulation of the Running Variable in the Regression Discontinuity Design: A Density Test.” Journal of Econometrics 142 (2): 698–714.

R Core Team. 2023. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.

Rubin, Donald B. 1974. “Estimating Causal Effects of Treatments in Randomized and Nonrandomized Studies.” Journal of Educational Psychology 66 (5): 688.

Schafer, Jerome, and John B Holbein. 2020. “When Time Is of the Essence: A Natural Experiment on How Time Constraints Influence Elections.” The Journal of Politics 82 (2): 418–32.

Wasserman, Larry. 2004. All of Statistics: A Concise Course in Statistical Inference. Springer Science & Business Media.

Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019. “Welcome to the Tidyverse.” Journal of Open Source Software 4 (43): 1686.

Wickham, Hadley, Mine Çetinkaya-Rundel, and Garrett Grolemund. 2023. R for Data Science. " O’Reilly Media, Inc.".