Author
Listed:
- Cam M K Rechenmacher
- Michael Keating
- James D Nichols
- Jonathan M Nichols
Abstract
Athletic performance data are modeled in an effort to better understand the relationship between both hours spent training and a measurement of “commitment” to that training, and improvements in performance. Both increased training time and greater commitment were predicted to produce larger increases in performance improvement, and commitment was predicted to be the more important determinant of improvement. The performance of 108 soccer players (ages 9–18) was quantified over a 10-week training program. Hours spent training ranged from 16 to 90 during the course of the study, while commitment scores ranged from 0.55 to 2.00, based on a scale from 0.00 to 2.40. A model selection approach was used to discriminate among models specifying relationships between training hours and improvement, and commitment and improvement. Despite considerable variability in the data, results provided strong evidence for an increase in performance improvement with both training hours and commitment score. The best models for hours and commitment were directly compared by computing an evidence ratio of 5799, indicating much stronger evidence favoring the model based on commitment. Results of analyses such as these go beyond anecdotal experience in an effort to establish a formal evidentiary basis for athletic training programs.
Suggested Citation
Cam M K Rechenmacher & Michael Keating & James D Nichols & Jonathan M Nichols, 2022.
"An evidence-based approach to assessing the effectiveness of training regimen on athlete performance: Youth soccer as a case study,"
PLOS ONE, Public Library of Science, vol. 17(11), pages 1-14, November.
Handle:
RePEc:plo:pone00:0276762
DOI: 10.1371/journal.pone.0276762
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