A review of the statistical methods used in Sports and Exercise Sciences PhD theses: a case study
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista Brasileira de Ciência e Movimento (Online) |
Texto Completo: | https://portalrevistas.ucb.br/index.php/rbcm/article/view/8990 |
Resumo: | This study aimed to describe the statistical methods used and statistical practice in PhD thesis in sports and exercise sciences, and to examine the time trends of statistical methods prevalence. We analyzed 50 PhD theses supported by a post-graduate program recognized by CAPES and defended between January 2003 and December 2013. Most theses used more than two statistical methods, and T-test, ANOVA, multiple comparisons, correlation and reliability analysis were the most used approaches. Less than 50% of both experimental and observational theses reported the effect size (ES), confidence interval (CI), sample size calculation and observed power analysis. The use of multiple comparisons in experimental studies significantly increased in the last 5-years compared to 2004-2008 time period. No other significant changes were observed. Results suggest that several statistical methods are used in quantitative design studies. Due to the observed large prevalence of statistical deficiencies (lack of reporting ES, CI, power analysis), postgraduate programs should have qualified statisticians with a major say in checking the statistical quality of PhD theses and subsequent articles. |
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A review of the statistical methods used in Sports and Exercise Sciences PhD theses: a case studyPhysical education Statistics Research designThis study aimed to describe the statistical methods used and statistical practice in PhD thesis in sports and exercise sciences, and to examine the time trends of statistical methods prevalence. We analyzed 50 PhD theses supported by a post-graduate program recognized by CAPES and defended between January 2003 and December 2013. Most theses used more than two statistical methods, and T-test, ANOVA, multiple comparisons, correlation and reliability analysis were the most used approaches. Less than 50% of both experimental and observational theses reported the effect size (ES), confidence interval (CI), sample size calculation and observed power analysis. The use of multiple comparisons in experimental studies significantly increased in the last 5-years compared to 2004-2008 time period. No other significant changes were observed. Results suggest that several statistical methods are used in quantitative design studies. Due to the observed large prevalence of statistical deficiencies (lack of reporting ES, CI, power analysis), postgraduate programs should have qualified statisticians with a major say in checking the statistical quality of PhD theses and subsequent articles.Universidade Católica de Brasília2019-01-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado por Paresinfo:eu-repo/semantics/otherapplication/pdfapplication/pdfapplication/pdfhttps://portalrevistas.ucb.br/index.php/rbcm/article/view/899010.31501/rbcm.v26i4.8990Revista Brasileira de Ciência e Movimento; v. 26 n. 4 (2018); 191-2000103-171610.31501/rbcm.v26i4reponame:Revista Brasileira de Ciência e Movimento (Online)instname:Universidade Católica de Brasília (UCB)instacron:UCBporhttps://portalrevistas.ucb.br/index.php/rbcm/article/view/8990/6154https://portalrevistas.ucb.br/index.php/rbcm/article/view/8990/9975https://portalrevistas.ucb.br/index.php/rbcm/article/view/8990/9976Copyright (c) 2019 Revista Brasileira de Ciência e Movimentoinfo:eu-repo/semantics/openAccessCastro, Flávio de SouzaFigueiredo, PedroMarques, Elisa A.Backes, Othavio PortoGaya, Anelise Reis2020-04-14T12:06:01Zoai:ojs.portalrevistas.ucb.br:article/8990Revistahttp://portalrevistas.ucb.br/index.php/RBCMPRIhttp://portalrevistas.ucb.br/index.php/RBCM/oai||jr_lazer@yahoo.com.br2237-90020103-1716opendoar:2020-04-14T12:06:01Revista Brasileira de Ciência e Movimento (Online) - Universidade Católica de Brasília (UCB)false |
dc.title.none.fl_str_mv |
A review of the statistical methods used in Sports and Exercise Sciences PhD theses: a case study |
title |
A review of the statistical methods used in Sports and Exercise Sciences PhD theses: a case study |
spellingShingle |
A review of the statistical methods used in Sports and Exercise Sciences PhD theses: a case study Castro, Flávio de Souza Physical education Statistics Research design |
title_short |
A review of the statistical methods used in Sports and Exercise Sciences PhD theses: a case study |
title_full |
A review of the statistical methods used in Sports and Exercise Sciences PhD theses: a case study |
title_fullStr |
A review of the statistical methods used in Sports and Exercise Sciences PhD theses: a case study |
title_full_unstemmed |
A review of the statistical methods used in Sports and Exercise Sciences PhD theses: a case study |
title_sort |
A review of the statistical methods used in Sports and Exercise Sciences PhD theses: a case study |
author |
Castro, Flávio de Souza |
author_facet |
Castro, Flávio de Souza Figueiredo, Pedro Marques, Elisa A. Backes, Othavio Porto Gaya, Anelise Reis |
author_role |
author |
author2 |
Figueiredo, Pedro Marques, Elisa A. Backes, Othavio Porto Gaya, Anelise Reis |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Castro, Flávio de Souza Figueiredo, Pedro Marques, Elisa A. Backes, Othavio Porto Gaya, Anelise Reis |
dc.subject.por.fl_str_mv |
Physical education Statistics Research design |
topic |
Physical education Statistics Research design |
description |
This study aimed to describe the statistical methods used and statistical practice in PhD thesis in sports and exercise sciences, and to examine the time trends of statistical methods prevalence. We analyzed 50 PhD theses supported by a post-graduate program recognized by CAPES and defended between January 2003 and December 2013. Most theses used more than two statistical methods, and T-test, ANOVA, multiple comparisons, correlation and reliability analysis were the most used approaches. Less than 50% of both experimental and observational theses reported the effect size (ES), confidence interval (CI), sample size calculation and observed power analysis. The use of multiple comparisons in experimental studies significantly increased in the last 5-years compared to 2004-2008 time period. No other significant changes were observed. Results suggest that several statistical methods are used in quantitative design studies. Due to the observed large prevalence of statistical deficiencies (lack of reporting ES, CI, power analysis), postgraduate programs should have qualified statisticians with a major say in checking the statistical quality of PhD theses and subsequent articles. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-13 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Avaliado por Pares info:eu-repo/semantics/other |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://portalrevistas.ucb.br/index.php/rbcm/article/view/8990 10.31501/rbcm.v26i4.8990 |
url |
https://portalrevistas.ucb.br/index.php/rbcm/article/view/8990 |
identifier_str_mv |
10.31501/rbcm.v26i4.8990 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://portalrevistas.ucb.br/index.php/rbcm/article/view/8990/6154 https://portalrevistas.ucb.br/index.php/rbcm/article/view/8990/9975 https://portalrevistas.ucb.br/index.php/rbcm/article/view/8990/9976 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Revista Brasileira de Ciência e Movimento info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Revista Brasileira de Ciência e Movimento |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Católica de Brasília |
publisher.none.fl_str_mv |
Universidade Católica de Brasília |
dc.source.none.fl_str_mv |
Revista Brasileira de Ciência e Movimento; v. 26 n. 4 (2018); 191-200 0103-1716 10.31501/rbcm.v26i4 reponame:Revista Brasileira de Ciência e Movimento (Online) instname:Universidade Católica de Brasília (UCB) instacron:UCB |
instname_str |
Universidade Católica de Brasília (UCB) |
instacron_str |
UCB |
institution |
UCB |
reponame_str |
Revista Brasileira de Ciência e Movimento (Online) |
collection |
Revista Brasileira de Ciência e Movimento (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Ciência e Movimento (Online) - Universidade Católica de Brasília (UCB) |
repository.mail.fl_str_mv |
||jr_lazer@yahoo.com.br |
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1799304121213255680 |