Progressive Statistics for Studies in Sports Medicine and Exercise Science
Auckland University of Technology · University of North Carolina at Chapel Hill · +3 more institutions
Abstract
Statistical guidelines and expert statements are now available to assist in the analysis and reporting of studies in some biomedical disciplines. We present here a more progressive resource for sample-based studies, meta-analyses, and case studies in sports medicine and exercise science. We offer forthright advice on the following controversial or novel issues: using precision of estimation for inferences about population effects in preference to null-hypothesis testing, which is inadequate for assessing clinical or practical importance; justifying sample size via acceptable precision or confidence for clinical decisions rather than via adequate power for statistical significance; showing SD rather than SEM,…
Citation impact
- FWCI
- 61.50
- Percentile
- 100%
- References
- 31
Authors
4Topics & keywords
- Sample size determination
- Covariate
- Statistics
- Sample (material)
- Statistical inference
- Scrutiny
- Population
- Descriptive statistics