References

Amrhein, V., Greenland, S., & McShane, B. (2019). Retire statistical significance. Nature, 567, 305–307.
Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society, Series B, 57(1), 289—300.
Dunn, O. J. (1961). Multiple comparisons among means. Journal of the American Statistical Association, 56(293), 52–64.
Gelman, A., & Hill, J. (2007). Data analysis using regression and multilevel/hierarchical models. Cambridge University Press.
Glavin, P., Schieman, S., & Reid, S. (2011). Boundary-spanning work demands and their consequences for guilt and psychological distress. Journal of Health and Social Behavior, 52(1), 43–57.
Hubbard, R., Haig, B. D., & Parsa, R. A. (2019). The limited role of formal statistical inference in scientific inference. The American Statistician, 73, 91–98. https://doi.org/10.1080/00031305.2018.1464947
McElreath, R. (2016). Statistical rethinking: A Bayesian course with examples in R and Stan. CRC Press.
Powell, V., & Lehe, L. (2015). Ordinary least squares regression: Explained visually. Explained Visually: A Setosa Project. https://setosa.io/ev/ordinary-least-squares-regression/
Schochet, P. Z. (2008). Technical methods report: Guidelines for multiple testing in impact evaluations (NCEE 2008-4018). National Center for Education Evaluation; Regional Assistance, Institute of Education Sciences, U.S. Department of Education. http://ncee.ed.gov
Thisted, R. A., & Velleman, P. F. (1992). Computers and modern statistics. In D. C. Hoaglin & D. S. Moore (Eds.), Perspectives on contemporary statistics, MAA notes no. 21 (pp. 41–53). Mathematical Association of America.
Wasserstein, R., & Schirm, A. (2019). Moving to a world beyond \(p < .05\). Keynote presentation at the United States Conference on Teaching Statistics.
What Works Clearinghouse. (2020). Procedures handbook, version 4.1 (No. ED602035). National Center for Education Evaluation; Regional Assistance, Institute of Education Sciences, U.S. Department of Education. http://ies.ed.gov/ncee/wwc/Handbooks
Williams, V. S. L., Jones, L. V., & Tukey, J. W. (1999). Controlling error in multiple comparisons, with examples from state-to-state differences in educational achievement. Journal of Educational and Behavioral Statistics, 24(1), 42–69.