References

Arel-Bundock, V. (2025). Model to Meaning: How to Interpret Statistical Models with R and Python. CRC Press.

Arel-Bundock, V., Greifer, N., & Heiss, A. (2024). How to Interpret Statistical Models Using marginaleffects for R and Python. Journal of Statistical Software, 111, 1–32. https://doi.org/10.18637/jss.v111.i09

Barr, D. J., Levy, R., Scheepers, C., & Tily, H. J. (2013). Random effects structure for confirmatory hypothesis testing: Keep it maximal. Journal of Memory and Language, 68(3), 255–278. https://doi.org/10.1016/j.jml.2012.11.001

Bürkner, P.-C. (2017). Brms: An R package for Bayesian multilevel models using Stan. Journal of Statistical Software, 80(1), 1–28.

DeBruine, L. M., & Barr, D. J. (2021). Understanding Mixed-Effects Models Through Data Simulation. Advances in Methods and Practices in Psychological Science, 4(1), 2515245920965119. https://doi.org/10.1177/2515245920965119

Funder, D. C., & Ozer, D. J. (2019). Evaluating Effect Size in Psychological Research: Sense and Nonsense. Advances in Methods and Practices in Psychological Science, 2(2), 156–168. https://doi.org/10.1177/2515245919847202

Gelman, A. (2024). Before data analysis: Additional recommendations for designing experiments to learn about the world. Journal of Consumer Psychology, 34, 190–191.

Kruschke, J. K., & Liddell, T. M. (2018). The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective. Psychon Bull Rev, 25(1), 178–206. https://doi.org/10.3758/s13423-016-1221-4

Lakens, D. (2022). Sample Size Justification. Collabra: Psychology, 8(1), 33267. https://doi.org/10.1525/collabra.33267

Lakens, D., Mesquida, C., Rasti, S., & Ditroilo, M. (2024). The benefits of preregistration and Registered Reports. Evidence-Based Toxicology, 2(1), 2376046. https://doi.org/10.1080/2833373X.2024.2376046

McElreath, R. (2020). Statistical rethinking: A Bayesian course with examples in R and Stan. CRC press.

Rohrer, J. M., & Arel-Bundock, V. (2026). Models as Prediction Machines: How to Convert Confusing Coefficients Into Clear Quantities. Advances in Methods and Practices in Psychological Science, 9(2), 25152459261424825. https://doi.org/10.1177/25152459261424825

Scheel, A. M., Schijen, M. R. M. J., & Lakens, D. (2021). An Excess of Positive Results: Comparing the Standard Psychology Literature With Registered Reports. Advances in Methods and Practices in Psychological Science, 4(2), 25152459211007467. https://doi.org/10.1177/25152459211007467