References

Aberson, Chris. 2020. Pwr2ppl: Power Analyses for Common Designs (Power to the People). https://CRAN.R-project.org/package=pwr2ppl.
Albers, Casper, and Daniël Lakens. 2018. “When Power Analyses Based on Pilot Data Are Biased: Inaccurate Effect Size Estimators and Follow-up Bias.” Journal of Experimental Social Psychology 74: 187–95. https://doi.org/10.1016/j.jesp.2017.09.004.
Algina, James, and H. J. Keselman. 1997. “Detecting Repeated Measures Effects with Univariate and Multivariate Statistics.” Psychological Methods 2 (2): 208–18. https://doi.org/10.1037/1082-989X.2.2.208.
Allaire, JJ, Yihui Xie, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, Hadley Wickham, Joe Cheng, Winston Chang, and Richard Iannone. 2022. Rmarkdown: Dynamic Documents for r. https://CRAN.R-project.org/package=rmarkdown.
Althouse, Andrew D. 2021. “Post Hoc Power: Not Empowering, Just Misleading.” Journal of Surgical Research 259 (March): A3–6. https://doi.org/10.1016/j.jss.2019.10.049.
Brysbaert, Marc. 2019. “How Many Participants Do We Have to Include in Properly Powered Experiments? A Tutorial of Power Analysis with Reference Tables.” Journal of Cognition 2 (1). http://doi.org/10.5334/joc.72.
Caldwell, Aaron, and Andrew D. Vigotsky. 2020. “A Case Against Default Effect Sizes in Sport and Exercise Science.” PeerJ 8 (November): e10314. https://doi.org/10.7717/peerj.10314.
Campbell, Jamie, and Valerie A. Thompson. 2012. “MorePower 6.0 for ANOVA with Relational Confidence Intervals and Bayesian Analysis.” Behavior Research Methods 44: 1255–65. https://doi.org/10.3758/s13428-012-0186-0.
Champely, Stephane. 2020. Pwr: Basic Functions for Power Analysis. https://github.com/heliosdrm/pwr.
Cohen, J. 1988. Statistical Power Analysis for the Behavioral Sciences. Lawrence Erlbaum Associates.
Faul, Franz, Edgar Erdfelder, Albert-Georg Lang, and Axel Buchner. 2007. “G*power 3: A Flexible Statistical Power Analysis Program for the Social, Behavioral, and Biomedical Sciences.” Behavior Research Methods 39 (2): 175–91. http://www.psychologie.hhu.de/arbeitsgruppen/allgemeine-psychologie-und-arbeitspsychologie/gpower.html.
Gelman, Andrew. 2019. “Don’t Calculate Post-Hoc Power Using Observed Estimate of Effect Size.” Annals of Surgery 269 (1): e9–10.
Green, Peter, and Catriona J. MacLeod. 2016. SIMR : An r Package for Power Analysis of Generalized Linear Mixed Models by Simulation.” Edited by Shinichi Nakagawa. Methods in Ecology and Evolution 7 (4): 493–98. https://doi.org/10.1111/2041-210x.12504.
Hothorn, Torsten, Frank Bretz, and Peter Westfall. 2020. Multcomp: Simultaneous Inference in General Parametric Models. https://CRAN.R-project.org/package=multcomp.
Lakens, Daniel, Friedrich Pahlke, and Gernot Wassmer. 2021. “Group Sequential Designs: A Tutorial,” January. https://doi.org/10.31234/osf.io/x4azm.
Lakens, Daniël. 2014. “Performing High-Powered Studies Efficiently with Sequential Analyses.” European Journal of Social Psychology 44 (7): 701–10. https://doi.org/10.1002/ejsp.2023.
Lenth, Russell V. 2007. “Statistical Power Calculations.” Journal of Animal Science 85 (suppl_13): E24–29.
Maxwell, S. E., H. D. Delaney, and K. Kelley. 2004. Designing Experiments and Analyzing Data: A Model Comparison Perspective. Avec CD, v. 1. Lawrence Erlbaum Associates. https://designingexperiments.com/.
Muller, Keith E, and Bercedis L Peterson. 1984. “Practical Methods for Computing Power in Testing the Multivariate General Linear Hypothesis.” Computational Statistics & Data Analysis 2 (2): 143–58. https://doi.org/10.1016/0167-9473(84)90002-1.
O’Brien, Ralph G, and Gwowen Shieh. 1999. “Pragmatic, Unifying Algorithm Gives Power Probabilities for Common f Tests of the Multivariate General Linear Hypothesis.” Citeseer. https://pdfs.semanticscholar.org/deda/facfd686feea985e134babc524ceb46f0422.pdf.
Pavot, William, and Ed Diener. 1993. “The Affective and Cognitive Context of Self-Reported Measures of Subjective Well-Being.” Social Indicators Research 28 (1): 1–20.
Perugini, Marco, Marcello Gallucci, and Giulio Costantini. 2014. “Safeguard Power as a Protection Against Imprecise Power Estimates.” Perspectives on Psychological Science 9 (3): 319–32.
Potvin, Patrick J, and Robert W Schutz. 2000. “Statistical Power for the Two-Factor Repeated Measures ANOVA.” Behavior Research Methods, Instruments, & Computers 32 (2): 347–56. https://psycnet.apa.org/doi/10.3758/BF03207805.
R Core Team. 2020. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
SAS. 2015. “The GLMPOWER Procedure.” In SAS/STAT 14.1 User’s Guide, 3738–98. Cary, NC: SAS Institute Inc. http://support.sas.com/documentation/cdl/en/statug/68162/HTML/default/viewer.htm#statug_glmpower_toc.htm.
Simonsohn, Uri. 2014. “No-Way Interactions.” Data Colada. http://datacolada.org/17.
Vonesh, Edward F, and M Anthony Schork. 1986. “Sample Sizes in the Multivariate Analysis of Repeated Measurements.” Biometrics, 601–10. http://dx.doi.org/10.2307/2531210.
Xie, Yihui. 2022. Bookdown: Authoring Books and Technical Documents with r Markdown. https://CRAN.R-project.org/package=bookdown.