Using Multilevel Models to Compare Performance Prediction and Characterization Abilities Between Power-Law and Critical-Speed Models in Middle- and Long-Distance Running

MLMs enhance understanding of speed-duration relationships across clusters, gender, and performance levels. Model-derived parameters provide valuable insights for athlete profiling. Finally, the PL MLM is a reliable prediction tool.

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Publication Details

Journal
International Journal of Sports Physiology and Performance
Published
2025-01-01
DOI
https://doi.org/10.1123/ijspp.2024-0330
Citations
1
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
1.72
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article

Using Multilevel Models to Compare Performance Prediction and Characterization Abilities Between Power-Law and Critical-Speed Models in Middle- and Long-Distance Running

Jean‐Marie Le Goff, Arturo Casado, Maxime Walt
1 citations
International Journal of Sports Physiology and Performance
Sports Performance and Training
1.72
article

Using Multilevel Models to Compare Performance Prediction and Characterization Abilities Between Power-Law and Critical-Speed Models in Middle- and Long-Distance Running

Jean‐Marie Le Goff, Arturo Casado, Maxime Walt
article en
1 citations

Abstract

MLMs enhance understanding of speed-duration relationships across clusters, gender, and performance levels. Model-derived parameters provide valuable insights for athlete profiling. Finally, the PL MLM is a reliable prediction tool.

International Journal of Sports Physiology and PerformanceVol. 20(7)
Universidad Rey Juan Carlos (ES), University of Lausanne (CH)
Gender equality
Openalex Percentile: Top 19%
Sports Performance and Training
1.72
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