Classification and selection of young athletes through the analysis of cluster

Detalhes bibliográficos
Autor(a) principal: Paes, Fernando de Oliveira
Data de Publicação: 2008
Outros Autores: Uezu, Rudney, Massa, Marcelo, Silveira Böhme, Maria Tereza
Tipo de documento: Artigo
Idioma: por
Título da fonte: Journal of Physical Education (Maringá)
Texto Completo: https://periodicos.uem.br/ojs/index.php/RevEducFis/article/view/2327
Resumo: The purpose of this study were: a) to classify young athletes in three different groups (better, medium and worse), considering kinanthropometry variables. b) Compare the classification obtained between this statistical procedure and coaches’ opinion. Sample was composed by 405 young male athletes from 11 to 15 years old, divided in five age groups. Physical fitness tests and anthropometric variables were measured. In data analysis the cluster analysis was used through the k-means procedure. The coaches of the different modalities agreed in 63,5% (handball), 65,2% (soccer), 74,7% (canoeing) with the classification accomplished by the multivariate statistical model. The statistical procedure of cluster analysis can be used in sport practice, in the process of evaluation of the development of physical fitness, physical growth and young athletes' corporal composition involved in TLP.
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spelling Classification and selection of young athletes through the analysis of clusterCLASSIFICAÇÃO E SELEÇÃO DE JOVENS ATLETAS ATRAVÉS DA ANÁLISE DE CLUSTER - DOI: 10.4025/reveducfis.v19i3.2327AnthropometryPhysical fitnessCluster analysis.AntropometriaAptidão físicaAnálise por conglomerados.cineantropometriaThe purpose of this study were: a) to classify young athletes in three different groups (better, medium and worse), considering kinanthropometry variables. b) Compare the classification obtained between this statistical procedure and coaches’ opinion. Sample was composed by 405 young male athletes from 11 to 15 years old, divided in five age groups. Physical fitness tests and anthropometric variables were measured. In data analysis the cluster analysis was used through the k-means procedure. The coaches of the different modalities agreed in 63,5% (handball), 65,2% (soccer), 74,7% (canoeing) with the classification accomplished by the multivariate statistical model. The statistical procedure of cluster analysis can be used in sport practice, in the process of evaluation of the development of physical fitness, physical growth and young athletes' corporal composition involved in TLP.Os objetivos deste estudo foram: a) classificar jovens atletas em três grupos distintos (melhores, médios e piores), considerando as variáveis cineantropométricas. b) comparar a classificação obtida com a opinião dos técnicos. Foram avaliados 405 jovens atletas do sexo masculino com idades entre 11 e 15 anos, divididos em cinco grupos etários, realizou-se testes de aptidão física e medidas antropométricas. Para classificar os atletas foi utilizado o procedimento estatístico multivariado análise de cluster (K-means). Os técnicos das diferentes modalidades concordaram em 63,5% (handebol), 65,2% (futebol), 74,7% (canoagem) com a classificação realizada pelo modelo estatístico multivariado. Dessa forma, o procedimento estatístico análise de cluster pode ser utilizado na prática esportiva, no processo de avaliação conjunta do desenvolvimento da aptidão física, crescimento físico e composição corporal de jovens atletas envolvidos em TLP.Department of Physical Education - State University of Maringá (UEM), Maringá-PR, Brazil2008-12-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiondescritivoapplication/pdfhttps://periodicos.uem.br/ojs/index.php/RevEducFis/article/view/2327Journal of Physical Education; Vol 19 No 3 (2008); 369-375Journal of Physical Education; Vol. 19 Núm. 3 (2008); 369-375Journal of Physical Education; v. 19 n. 3 (2008); 369-3752448-2455reponame:Journal of Physical Education (Maringá)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporhttps://periodicos.uem.br/ojs/index.php/RevEducFis/article/view/2327/3688Paes, Fernando de OliveiraUezu, RudneyMassa, MarceloSilveira Böhme, Maria Terezainfo:eu-repo/semantics/openAccess2023-01-10T15:37:05Zoai:periodicos.uem.br/ojs:article/2327Revistahttp://periodicos.uem.br/ojs/index.php/RevEducFis/indexPUBhttps://old.scielo.br/oai/scielo-oai.php||revdef@uem.br2448-24552448-2455opendoar:2023-01-10T15:37:05Journal of Physical Education (Maringá) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Classification and selection of young athletes through the analysis of cluster
CLASSIFICAÇÃO E SELEÇÃO DE JOVENS ATLETAS ATRAVÉS DA ANÁLISE DE CLUSTER - DOI: 10.4025/reveducfis.v19i3.2327
title Classification and selection of young athletes through the analysis of cluster
spellingShingle Classification and selection of young athletes through the analysis of cluster
Paes, Fernando de Oliveira
Anthropometry
Physical fitness
Cluster analysis.
Antropometria
Aptidão física
Análise por conglomerados.
cineantropometria
title_short Classification and selection of young athletes through the analysis of cluster
title_full Classification and selection of young athletes through the analysis of cluster
title_fullStr Classification and selection of young athletes through the analysis of cluster
title_full_unstemmed Classification and selection of young athletes through the analysis of cluster
title_sort Classification and selection of young athletes through the analysis of cluster
author Paes, Fernando de Oliveira
author_facet Paes, Fernando de Oliveira
Uezu, Rudney
Massa, Marcelo
Silveira Böhme, Maria Tereza
author_role author
author2 Uezu, Rudney
Massa, Marcelo
Silveira Böhme, Maria Tereza
author2_role author
author
author
dc.contributor.author.fl_str_mv Paes, Fernando de Oliveira
Uezu, Rudney
Massa, Marcelo
Silveira Böhme, Maria Tereza
dc.subject.por.fl_str_mv Anthropometry
Physical fitness
Cluster analysis.
Antropometria
Aptidão física
Análise por conglomerados.
cineantropometria
topic Anthropometry
Physical fitness
Cluster analysis.
Antropometria
Aptidão física
Análise por conglomerados.
cineantropometria
description The purpose of this study were: a) to classify young athletes in three different groups (better, medium and worse), considering kinanthropometry variables. b) Compare the classification obtained between this statistical procedure and coaches’ opinion. Sample was composed by 405 young male athletes from 11 to 15 years old, divided in five age groups. Physical fitness tests and anthropometric variables were measured. In data analysis the cluster analysis was used through the k-means procedure. The coaches of the different modalities agreed in 63,5% (handball), 65,2% (soccer), 74,7% (canoeing) with the classification accomplished by the multivariate statistical model. The statistical procedure of cluster analysis can be used in sport practice, in the process of evaluation of the development of physical fitness, physical growth and young athletes' corporal composition involved in TLP.
publishDate 2008
dc.date.none.fl_str_mv 2008-12-15
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
descritivo
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.uem.br/ojs/index.php/RevEducFis/article/view/2327
url https://periodicos.uem.br/ojs/index.php/RevEducFis/article/view/2327
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.uem.br/ojs/index.php/RevEducFis/article/view/2327/3688
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Department of Physical Education - State University of Maringá (UEM), Maringá-PR, Brazil
publisher.none.fl_str_mv Department of Physical Education - State University of Maringá (UEM), Maringá-PR, Brazil
dc.source.none.fl_str_mv Journal of Physical Education; Vol 19 No 3 (2008); 369-375
Journal of Physical Education; Vol. 19 Núm. 3 (2008); 369-375
Journal of Physical Education; v. 19 n. 3 (2008); 369-375
2448-2455
reponame:Journal of Physical Education (Maringá)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Journal of Physical Education (Maringá)
collection Journal of Physical Education (Maringá)
repository.name.fl_str_mv Journal of Physical Education (Maringá) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv ||revdef@uem.br
_version_ 1754732540854272000

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