References

Amrhein, V., Greenland, S., & McShane, B. (2019). Retire statisticial significance. Nature, 567, 305–307.

Banack, H. R., & Kaufman, J. S. (2014). The obesity paradox: Understanding the effect of obesity on mortality among individuals with cardiovascular disease. Preventive Medicine, 62, 96–102.

Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173.

Blitzstein, J. K., & Hwang, J. (2019). Introduction to probability. Chapman; Hall/CRC.

Box, G. E. (1979). Robustness in the strategy of scientific model building. In Robustness in statistics (pp. 201–236). Elsevier.

Broman, K., Cetinkaya-Rundel, M., Nussbaum, A., Paciorek, C., Peng, R., Turek, D., & Wickham, H. (2017). Recommendations to funding agencies for supporting reproducible research. American Statistical Association, 2, 1–4.

Christensen, L., Turner, L. A., & Johnson, R. B. (2023). Randomized designs in psychological research.

Clayton, A. (2021). Bernoulli’s fallacy: Statistical illogic and the crisis of modern science. Columbia University Press.

Elwert, F., & Winship, C. (2014). Endogenous selection bias: The problem of conditioning on a collider variable. Annual Review of Sociology, 40, 31–53.

Eriksson, C., Hilding, A., Pyko, A., Bluhm, G., Pershagen, G., & Östenson, C.-G. (2014). Long-term aircraft noise exposure and body mass index, waist circumference, and type 2 diabetes: A prospective study. Environmental Health Perspectives, 122(7), 687–694.

Gelman, A., Hill, J., & Vehtari, A. (2021). Regression and other stories. Cambridge University Press.

Gilovich, T. (2008). How we know what isn’t so. Simon; Schuster.

Guber, D. (1999). Getting what you pay for. Journal of Statistics Education, 7(2).

Haack, S. (2011). Defending science-within reason: Between scientism and cynicism. Prometheus Books.

Hand, D. J. (2014). The improbability principle: Why coincidences, miracles, and rare events happen every day. Scientific American/Farrar, Straus; Giroux.

Hernán, M. A. (2018). The c-word: Scientific euphemisms do not improve causal inference from observational data. American Journal of Public Health, 108(5), 616–619.

Holland, P. W. (1986). Statistics and causal inference. Journal of the American Statistical Association, 81(396), 945–960.

Howell, D. C. (2012). Statistical methods for psychology. Cengage Learning.

Jaynes, E. T. (1985). Bayesian methods: General background (J. H. Justice, Ed.). Cambridge University Press.

Kantowitz, B. H., Roediger III, H. L., & Elmes, D. G. (2014). Experimental psychology. Cengage Learning.

Lambert, M. C., Cartledge, G., Heward, W. L., & Lo, Y. (2006). Effects of response cards on disruptive behavior and academic responding during math lessons by fourth-grade urban students. Journal of Positive Behavior Interventions, 8(2), 88–99.

McElreath, R. (2020). Statistical rethinking: A bayesian course with examples in r and stan. Chapman; Hall/CRC.

Michal, A. L., & Shah, P. (2024). A practical significance bias in laypeople’s evaluation of scientific findings. Psychological Science, 35(4), 315–327.

Michell, J. (1997). Quantitative science and the definition of measurement in psychology. British Journal of Psychology, 88(3), 355–383.

Morgan, S. L., & Winship, C. (2015). Counterfactuals and causal inference. Cambridge University Press.

Morgenstern, H., Wakefield, J., et al. (2021). Ecologic studies and analysis. Modern Epidemiology. 4th Ed. Wolters Kluwer.

Mountain, L. (2006). Safety cameras: Stealth tax or life-savers? Significance, 3(3), 111–113.

Newbold, D. J., Laumann, T. O., Hoyt, C. R., Hampton, J. M., Montez, D. F., Raut, R. V., Ortega, M., Mitra, A., Nielsen, A. N., Miller, D. B., et al. (2020). Plasticity and spontaneous activity pulses in disused human brain circuits. Neuron, 107(3), 580–589.

Norton, H. J., & Divine, G. (2015). Simpson’s paradox… and how to avoid it. Significance, 12(4), 40–43.

Pearl, J. (2014). Comment: Understanding simpson’s paradox. The American Statistician, 68(1), 8–13.

Rohrer, J. M. (2018). Thinking clearly about correlations and causation: Graphical causal models for observational data. Advances in Methods and Practices in Psychological Science, 1(1), 27–42.

Rothman, K. J. (2012). Epidemiology: An introduction. Oxford university press.

Sagarin, B. J., West, S. G., Ratnikov, A., Homan, W. K., Ritchie, T. D., & Hansen, E. J. (2014). Treatment noncompliance in randomized experiments: Statistical approaches and design issues. Psychological Methods, 19(3), 317.

Schellenberg, E. G. (2004). Music lessons enhance IQ. Psychological Science, 15(8), 511–514.

Smith, P. L., & Little, D. R. (2018). Small is beautiful: In defense of the small-n design. Psychonomic Bulletin & Review, 25(6), 2083–2101.

Snow, J. (1855). On the mode of communication of cholera. John Churchill.

Stansfeld, S. A., Berglund, B., Clark, C., Lopez-Barrio, I., Fischer, P., Öhrström, E., Haines, M. M., Head, J., Hygge, S., Van Kamp, I., et al. (2005). Aircraft and road traffic noise and children’s cognition and health: A cross-national study. The Lancet, 365(9475), 1942–1949.

Steiner, P. M., Shadish, W. R., & Sullivan, K. J. (2023). Frameworks for causal inference in psychological science.

Stevens, S. S. (1946). On the theory of scales of measurement. Science, 103(2684), 677–680.

Tirado, C., Gerdfeldter, B., & Nilsson, M. E. (2021). Individual differences in the ability to access spatial information in lag-clicks. The Journal of the Acoustical Society of America, 149(5), 2963–2975.

Van Hedger, S. C., Nusbaum, H. C., Clohisy, L., Jaeggi, S. M., Buschkuehl, M., & Berman, M. G. (2019). Of cricket chirps and car horns: The effect of nature sounds on cognitive performance. Psychonomic Bulletin & Review, 26(2), 522–530.

West, S. G., & Thoemmes, F. (2010). Campbell’s and rubin’s perspectives on causal inference. Psychological Methods, 15(1), 18.

Wilkinson, L. (1999). APA task force on statistical inference. Statistical methods in psychology journals: Guidelines and explanations. American Psychologist, 54(8), 594–604.

Wilson, J. P., & Rule, N. O. (2015). Facial trustworthiness predicts extreme criminal-sentencing outcomes. Psychological Science, 26(8), 1325–1331.