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Identifying Talent in Youth Sport: A Novel Methodology Using Higher-Dimensional Analysis

Till, Kevin ; Jones, Ben L ; Cobley, Stephen ; Morley, David ; O'Hara, John ; Chapman, Chris ; Cooke, Carlton ; Beggs, Clive B Sampaio, Jaime

PloS one, 2016-05, Vol.11 (5), p.e0155047-e0155047 [Periódico revisado por pares]

United States: Public Library of Science

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Título:
Identifying Talent in Youth Sport: A Novel Methodology Using Higher-Dimensional Analysis
Autor: Till, Kevin ; Jones, Ben L ; Cobley, Stephen ; Morley, David ; O'Hara, John ; Chapman, Chris ; Cooke, Carlton ; Beggs, Clive B
Sampaio, Jaime
Assuntos: Adolescent ; Adults ; Analysis ; Anthropometry ; Aptitude ; Biology and Life Sciences ; Body measurements ; Careers ; Computer and Information Sciences ; Datasets ; Dimensional analysis ; Exercise ; Fitness ; Football ; Humans ; Leisure ; Linear algebra ; Male ; Mathematical analysis ; Medical imaging ; Medicine and Health Sciences ; Methods ; Model testing ; Models, Theoretical ; Multivariate analysis ; People and Places ; Physical fitness ; Physical Sciences ; Physiological aspects ; Players ; Principal components analysis ; Research and Analysis Methods ; Rugby ; Sensitivity ; Services ; Singular value decomposition ; Soccer ; Social Sciences ; Sport science ; Sports associations ; Studies ; Teaching ; Teenagers ; Variance analysis ; Youth
É parte de: PloS one, 2016-05, Vol.11 (5), p.e0155047-e0155047
Notas: ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-News-1
ObjectType-Feature-3
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Competing Interests: The authors have read the journal's policy and the authors of this manuscript have the following competing interests: This research was undertaken alongside the sports national governing body, The Rugby Football League. All data collection and analysis was supported by the Rugby Football League. This does not alter the authors' adherence to PLOS ONE policies on sharing data and materials.
Conceived and designed the experiments: KT BLJ SC DM JOH C. Cooke C. Chapman CBB. Performed the experiments: KT JOH. Analyzed the data: KT BLJ CBB. Wrote the paper: KT BLJ SC DM JOH C. Cooke C. Chapman CBB.
Descrição: Prediction of adult performance from early age talent identification in sport remains difficult. Talent identification research has generally been performed using univariate analysis, which ignores multivariate relationships. To address this issue, this study used a novel higher-dimensional model to orthogonalize multivariate anthropometric and fitness data from junior rugby league players, with the aim of differentiating future career attainment. Anthropometric and fitness data from 257 Under-15 rugby league players was collected. Players were grouped retrospectively according to their future career attainment (i.e., amateur, academy, professional). Players were blindly and randomly divided into an exploratory (n = 165) and validation dataset (n = 92). The exploratory dataset was used to develop and optimize a novel higher-dimensional model, which combined singular value decomposition (SVD) with receiver operating characteristic analysis. Once optimized, the model was tested using the validation dataset. SVD analysis revealed 60 m sprint and agility 505 performance were the most influential characteristics in distinguishing future professional players from amateur and academy players. The exploratory dataset model was able to distinguish between future amateur and professional players with a high degree of accuracy (sensitivity = 85.7%, specificity = 71.1%; p<0.001), although it could not distinguish between future professional and academy players. The validation dataset model was able to distinguish future professionals from the rest with reasonable accuracy (sensitivity = 83.3%, specificity = 63.8%; p = 0.003). Through the use of SVD analysis it was possible to objectively identify criteria to distinguish future career attainment with a sensitivity over 80% using anthropometric and fitness data alone. As such, this suggests that SVD analysis may be a useful analysis tool for research and practice within talent identification.
Editor: United States: Public Library of Science
Idioma: Inglês

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Identifying Talent in Youth Sport: A Novel Methodology Using Higher-Dimensional Analysis

Till, Kevin ; Jones, Ben L ; Cobley, Stephen ; Morley, David ; O'Hara, John ; Chapman, Chris ; Cooke, Carlton ; Beggs, Clive B Sampaio, Jaime

United States: Public Library of Science

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