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Plaudits and pitfalls in studying elite athletes
William A Sands1, Jeni R McNeal, Michael H Stone
1Sport Biomechanics and Engineering, Sport Science-U.S. Olympic Committee, 1 Olympic Plaza, Colorado Springs, CO 80909, USA. bill.sands@usoc.org
Perceptual and Motor Skills
|March 19, 2005
Summary
Studying elite athletes presents challenges like low statistical power and difficulty finding control groups. Alternative analytical methods may offer better solutions for this unique research population.
Area of Science:
- Sports science
- Human performance analysis
Background:
- Elite athletes are a rare population, making traditional research methods challenging.
- Difficulties include achieving adequate statistical power and establishing control groups.
Purpose of the Study:
- To highlight the methodological challenges in studying elite athletes.
- To suggest alternative analytical approaches for research on elite athletes.
Main Methods:
- This study reviews the inherent limitations of traditional statistical analyses when applied to elite athlete research.
- It discusses the implications of small sample sizes and lack of comparable control groups.
Main Results:
- Traditional statistical power is often insufficient in elite athlete studies due to small sample sizes.
- Finding suitable control groups for comparison is frequently impractical or impossible.
- Generalizability of findings from elite athlete studies can be limited.
Conclusions:
- The unique characteristics of elite athletes necessitate alternative research methodologies.
- Exploring different analytical techniques may yield more robust and applicable findings in sports science research.