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Large N: a strategy for improving regional sport performance.
Andrew C Cornett1, Joel M Stager
1School of Health Promotion & Human Performance, Eastern Michigan University, Ypsilanti, MI.
International Journal of Sports Physiology and Performance
|January 7, 2015
Summary
More swimmers in a region predict better athletic performance. This study found that the number of participants significantly predicts the fastest times in swimming across all age groups and genders, highlighting the importance of participation for elite performance.
Area of Science:
- Sports Science
- Biostatistics
Background:
- Hypotheses suggest regional performance differences stem from participant numbers.
- This relationship is established for intellectual performance but not yet for physical performance.
Purpose of the Study:
- To investigate if the number of participants predicts regional athletic performance.
- Specifically, to examine this relationship in competitive swimming.
Main Methods:
- Utilized USA Swimming 2005-2010 data for 59 US swimming communities.
- Analyzed 50-yd freestyle times for swimmers aged 6-19 (boys and girls).
- Employed simple linear regression to correlate participant numbers (log-transformed) with fastest times.
Main Results:
- The number of swimmers significantly predicted fastest times across all tested age, sex, and year combinations (P<.05).
- Participant numbers explained an average of 41% of the variance in fastest times, reaching up to 62% in some cases.
Conclusions:
- Findings support the hypothesis that increased participation drives regional athletic excellence.
- Suggests that expanding participant numbers is a viable strategy for enhancing regional sports performance.
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