Revisiting the Relative Age Effect From a Multidisciplinary Perspective in Youth Basketball: A Bayesian Analysis
Relative age effect (RAE) is considered to bias the selection of young athletes and a cause of exclusion of many participants. The goal of the study was to unveil the effects of the birth quarter on physical performances and a set of psychological constructs in the age groups corresponding to the sp...
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doaj-91d9d161507b400981db36bf6ab4cba72021-02-02T05:20:05ZengFrontiers Media S.A.Frontiers in Sports and Active Living2624-93672021-02-01210.3389/fspor.2020.581845581845Revisiting the Relative Age Effect From a Multidisciplinary Perspective in Youth Basketball: A Bayesian AnalysisCarlos Eduardo Gonçalves0Humberto Moreira Carvalho1Faculty of Sport Sciences, University of Coimbra, Coimbra, PortugalSchool of Sports, Federal University of Santa Catarina, Florianopolis, BrazilRelative age effect (RAE) is considered to bias the selection of young athletes and a cause of exclusion of many participants. The goal of the study was to unveil the effects of the birth quarter on physical performances and a set of psychological constructs in the age groups corresponding to the specialization years. A set of surveys with cross-sectional data collected from 2015 to 2019 in youth basketball was used. Three hundred and twenty-seven Brazilian players (127 females, 100 males), mean age 14.0 years, participated in the study. Counter-movement jump, line-drill, yoyo intermittent test, achievement goals, motivation for deliberate practice, and enjoyment were measured. Bayesian multilevel regression was performed. RAE was observed but its advantages did not persist and did not differentiate the players in the variables under scrutiny. The only predictor of athletic and psychological outcomes was chronological age. The initial advantage that triggered the coaches' decision to select individual players disappears during the specialization years. Coaches must overcome the superficial observation of young athletes based only on age groups and actual performances, avoiding hasty decisions that, unlike RAE, last in time and cannot be reversed.https://www.frontiersin.org/articles/10.3389/fspor.2020.581845/fullrelative age effectyouth sportselectionBayesian analysismultidiscipinary approach |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Carlos Eduardo Gonçalves Humberto Moreira Carvalho |
spellingShingle |
Carlos Eduardo Gonçalves Humberto Moreira Carvalho Revisiting the Relative Age Effect From a Multidisciplinary Perspective in Youth Basketball: A Bayesian Analysis Frontiers in Sports and Active Living relative age effect youth sport selection Bayesian analysis multidiscipinary approach |
author_facet |
Carlos Eduardo Gonçalves Humberto Moreira Carvalho |
author_sort |
Carlos Eduardo Gonçalves |
title |
Revisiting the Relative Age Effect From a Multidisciplinary Perspective in Youth Basketball: A Bayesian Analysis |
title_short |
Revisiting the Relative Age Effect From a Multidisciplinary Perspective in Youth Basketball: A Bayesian Analysis |
title_full |
Revisiting the Relative Age Effect From a Multidisciplinary Perspective in Youth Basketball: A Bayesian Analysis |
title_fullStr |
Revisiting the Relative Age Effect From a Multidisciplinary Perspective in Youth Basketball: A Bayesian Analysis |
title_full_unstemmed |
Revisiting the Relative Age Effect From a Multidisciplinary Perspective in Youth Basketball: A Bayesian Analysis |
title_sort |
revisiting the relative age effect from a multidisciplinary perspective in youth basketball: a bayesian analysis |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Sports and Active Living |
issn |
2624-9367 |
publishDate |
2021-02-01 |
description |
Relative age effect (RAE) is considered to bias the selection of young athletes and a cause of exclusion of many participants. The goal of the study was to unveil the effects of the birth quarter on physical performances and a set of psychological constructs in the age groups corresponding to the specialization years. A set of surveys with cross-sectional data collected from 2015 to 2019 in youth basketball was used. Three hundred and twenty-seven Brazilian players (127 females, 100 males), mean age 14.0 years, participated in the study. Counter-movement jump, line-drill, yoyo intermittent test, achievement goals, motivation for deliberate practice, and enjoyment were measured. Bayesian multilevel regression was performed. RAE was observed but its advantages did not persist and did not differentiate the players in the variables under scrutiny. The only predictor of athletic and psychological outcomes was chronological age. The initial advantage that triggered the coaches' decision to select individual players disappears during the specialization years. Coaches must overcome the superficial observation of young athletes based only on age groups and actual performances, avoiding hasty decisions that, unlike RAE, last in time and cannot be reversed. |
topic |
relative age effect youth sport selection Bayesian analysis multidiscipinary approach |
url |
https://www.frontiersin.org/articles/10.3389/fspor.2020.581845/full |
work_keys_str_mv |
AT carloseduardogoncalves revisitingtherelativeageeffectfromamultidisciplinaryperspectiveinyouthbasketballabayesiananalysis AT humbertomoreiracarvalho revisitingtherelativeageeffectfromamultidisciplinaryperspectiveinyouthbasketballabayesiananalysis |
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