Authors
Kevin D. Dames, Biomechanics Laboratory, Kinesiology Department, State University of New York at Cortland, Cortland, NY, USA
Zoe Climenhaga, Proehl Exercise Physiology Laboratory, Kinesiology Department, State University of New York at Cortland, Cortland, NY, USA
Jared Rosenberg, Proehl Exercise Physiology Laboratory, Kinesiology Department, State University of New York at Cortland, Cortland, NY, USA
International Journal of Exercise Science 18(2): 1114-1120, 2025.
DOI: 10.70252/AVGK2063
Abstract
Strategic planning of research involves predicting the number of replications of the experiment needed to detect an expected effect. The power analysis to determine sample size for the proposed experiment requires known or estimated characteristics of existing distributions. When used well, power analysis reduces the risk of statistical errors, wasted efforts, and temptations to twist ensuing analyses to eke out a ‘significant’ result after data collections conclude. This editorial highlights some examples of how this process goes awry. Sections are dedicated to the role of researchers, the case for ‘pilot’ studies, and the critical involvement of reviewers as arbiters of best practices. Throughout, the importance of reporting standard statistical data to support conclusions is identified as the platform for enabling future power analyses. Logical, evidencebased pre-planning of studies and implementing standard statistical reporting increases transparency of research, the likelihood of a study to be cited in the future, and enhances the body of research that exercise scientists collectively build.
Recommended Citation
Dames, Kevin D.; Climenhaga, Zoe; Rosenberg, Jared (2025) “Where is the Power in a Power Analysis?,” International Journal of Exercise Science: Vol. 18 : Iss. 2, Pages 1114-1120.
DOI: https://doi.org/10.70252/AVGK2063