Vol 13, Issue 1

New Author Guidelines in Statistical Reporting: Embracing an Era Beyond p < .05

January 1, 2020 - By 

Authors

Samantha Johnson, Middle Tennessee State University
Whitley J. Stone, Western Kentucky University
Jennifer Bunn, Campbell University
Scott Lyons, Western Kentucky University
James W. Navalta, University of Nevada, Las Vegas
International Journal of Exercise Science 13(1): 1-5, 2020.
DOI: 10.70252/HMZN3851

Abstract

Statistical reporting of quantitative research data has been plagued by potential bias and reporting suppression due to a single numerical output: the p-value. While there is great importance in its merit, creating a pass-fail system (set at point of .05) has created a culture of researchers submitting their project’s data to a filing cabinet if it does not yield “statistical significance” based on this value. The editors of the International Journal of Exercise Science are following the American Statistical Association’s call for statistical reform by adjusting our reporting guidelines to the following requirements: [1.] make an intentional effort to move away from statements “statistically significant” or “not significant;” [2] all p-values are to be reported in their raw, continuous form; [3.] measures of the magnitude of effect must be presented with all p-values; [4.] either an a-priori power analysis with relevant citations should be included or post-hoc power calculations should accompany p-values and measures of effect. The ultimate goal of this editorial is to join with other scholars to push the field toward transparency in reporting and critical, thoughtful evaluation of research.

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