<b>Monitoring in basketball: the use of a principal component analysis</b> - DOI: 10.4025/reveducfis.v20i1.5145
A principal component analysis (PCA) was performed in order to identify the principal components summarizing the investigated variables (vertical jump with and without countermovement, horizontal jump, horizontal consecutive triple jump – right and left side, 20-m run test, square test, 20-m shuttle...
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| Format: | Article |
| Language: | English |
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Universidade Estadual de Maringá
2009-04-01
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| Series: | Revista da Educação Física |
| Subjects: | |
| Online Access: | http://periodicos.uem.br/ojs/index.php/RevEducFis/article/view/5145 |
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| _version_ | 1850109632311197696 |
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| author | Alexandre Moreira Arnaldo Luis Mortatti João Henrique Gomes Fernando de Oliveira Paes Diego Miceli Jeleilati |
| author_facet | Alexandre Moreira Arnaldo Luis Mortatti João Henrique Gomes Fernando de Oliveira Paes Diego Miceli Jeleilati |
| author_sort | Alexandre Moreira |
| collection | DOAJ |
| description | A principal component analysis (PCA) was performed in order to identify the principal components summarizing the investigated variables (vertical jump with and without countermovement, horizontal jump, horizontal consecutive triple jump – right and left side, 20-m run test, square test, 20-m shuttle run, stature, arm spam, body mass and body fat). Twenty sub-17 male basketball players (16,4 ±0,7 yr) from Brazilian team were evaluated. The first principal component (PC) was associated with the speed-strength and speed-agility variables, accounting for 61,7% of the total variance, while the second PC was associated with body size, contributing with 15,8% of the variation. The results indicate that the PCA model may be a useful tool to monitoring training processes of elite young basketball players and appers to be a good candidate to understand the specific structure of talent development. |
| format | Article |
| id | doaj-art-e61b521cf4c249fba581bd8716d771af |
| institution | OA Journals |
| issn | 0103-3948 1983-3083 |
| language | English |
| publishDate | 2009-04-01 |
| publisher | Universidade Estadual de Maringá |
| record_format | Article |
| series | Revista da Educação Física |
| spelling | doaj-art-e61b521cf4c249fba581bd8716d771af2025-08-20T02:38:01ZengUniversidade Estadual de MaringáRevista da Educação Física0103-39481983-30832009-04-0120151593915<b>Monitoring in basketball: the use of a principal component analysis</b> - DOI: 10.4025/reveducfis.v20i1.5145Alexandre Moreira0Arnaldo Luis Mortatti1João Henrique Gomes2Fernando de Oliveira Paes3Diego Miceli Jeleilati4Escola de Educação Física e Esporte - Universidade de São Paulo - Departamento de EsporteInstituto de Ciências em Atividade Física e Esporte - Universidade Cruzeiro do sul -SPConfederação Brasileira de Basquetebolscola de Educação Física e Esporte - Universidade de São PauloConfederação Brasileira de BasquetebolA principal component analysis (PCA) was performed in order to identify the principal components summarizing the investigated variables (vertical jump with and without countermovement, horizontal jump, horizontal consecutive triple jump – right and left side, 20-m run test, square test, 20-m shuttle run, stature, arm spam, body mass and body fat). Twenty sub-17 male basketball players (16,4 ±0,7 yr) from Brazilian team were evaluated. The first principal component (PC) was associated with the speed-strength and speed-agility variables, accounting for 61,7% of the total variance, while the second PC was associated with body size, contributing with 15,8% of the variation. The results indicate that the PCA model may be a useful tool to monitoring training processes of elite young basketball players and appers to be a good candidate to understand the specific structure of talent development.http://periodicos.uem.br/ojs/index.php/RevEducFis/article/view/5145Basquetebol, Educação física e Treinamento, Análise Multivariada |
| spellingShingle | Alexandre Moreira Arnaldo Luis Mortatti João Henrique Gomes Fernando de Oliveira Paes Diego Miceli Jeleilati <b>Monitoring in basketball: the use of a principal component analysis</b> - DOI: 10.4025/reveducfis.v20i1.5145 Revista da Educação Física Basquetebol, Educação física e Treinamento, Análise Multivariada |
| title | <b>Monitoring in basketball: the use of a principal component analysis</b> - DOI: 10.4025/reveducfis.v20i1.5145 |
| title_full | <b>Monitoring in basketball: the use of a principal component analysis</b> - DOI: 10.4025/reveducfis.v20i1.5145 |
| title_fullStr | <b>Monitoring in basketball: the use of a principal component analysis</b> - DOI: 10.4025/reveducfis.v20i1.5145 |
| title_full_unstemmed | <b>Monitoring in basketball: the use of a principal component analysis</b> - DOI: 10.4025/reveducfis.v20i1.5145 |
| title_short | <b>Monitoring in basketball: the use of a principal component analysis</b> - DOI: 10.4025/reveducfis.v20i1.5145 |
| title_sort | b monitoring in basketball the use of a principal component analysis b doi 10 4025 reveducfis v20i1 5145 |
| topic | Basquetebol, Educação física e Treinamento, Análise Multivariada |
| url | http://periodicos.uem.br/ojs/index.php/RevEducFis/article/view/5145 |
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