Calculating and reporting effect sizes on scientific papers (3): Guide to report regression models and ANOVA effect sizes

Detalhes bibliográficos
Autor(a) principal: Espirito Santo, Helena Maria Amaral
Data de Publicação: 2018
Outros Autores: Daniel, Fernanda
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.31211/rpics.2018.4.1.72
Resumo: In the first issue of the Portuguese Journal of Behavioral and Social Research, the importance of calculating, indicating, and interpreting the effect sizes for the differences of means of two groups (d family of effect sizes) was reviewed. Effect sizes are standard metrics that allows the comparison of the results of statistical analyzes of different studies. Effect sizes also report on the impact of a factor on the variable under investigation and the association between variables. After reviewing the effect sizes for the mean differences between two groups (Espirito-Santo & Daniel, 2015) and most of the r family (Espirito-Santo & Daniel, 2017), the review of effect sizes for analysis of variance was lacking. Analysis of variance can be understood as an extension of the d family to more than two groups (ANOVA) or as an r subfamily in which the proportion of variability is attributable to one or more factors. In the r subfamily reviewed in this study, we analyse the change in the dependent variable that results from one or more independent variables. This analysis is focused on general linear models, including regression models and ANOVA. This article provides the formulas for calculating the most common effect sizes by reviewing the basic concepts of the statistics and providing illustrative examples computed in the Statistical Package for the Social Sciences (SPSS). The guidelines for the interpretation of effect sizes are also presented, as well as the cautions in their use. Also, the article is accompanied by an Excel spreadsheet to facilitate and expedite the calculations for interested readers.
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spelling Calculating and reporting effect sizes on scientific papers (3): Guide to report regression models and ANOVA effect sizesCalcular e apresentar tamanhos do efeito em trabalhos científicos (3): Guia para reportar os tamanhos do efeito para análises de regressão e ANOVAsANOVARegression analysisEffect sizep-valueANOVAAnálise de regressãoTamanho do efeitoValor pIn the first issue of the Portuguese Journal of Behavioral and Social Research, the importance of calculating, indicating, and interpreting the effect sizes for the differences of means of two groups (d family of effect sizes) was reviewed. Effect sizes are standard metrics that allows the comparison of the results of statistical analyzes of different studies. Effect sizes also report on the impact of a factor on the variable under investigation and the association between variables. After reviewing the effect sizes for the mean differences between two groups (Espirito-Santo & Daniel, 2015) and most of the r family (Espirito-Santo & Daniel, 2017), the review of effect sizes for analysis of variance was lacking. Analysis of variance can be understood as an extension of the d family to more than two groups (ANOVA) or as an r subfamily in which the proportion of variability is attributable to one or more factors. In the r subfamily reviewed in this study, we analyse the change in the dependent variable that results from one or more independent variables. This analysis is focused on general linear models, including regression models and ANOVA. This article provides the formulas for calculating the most common effect sizes by reviewing the basic concepts of the statistics and providing illustrative examples computed in the Statistical Package for the Social Sciences (SPSS). The guidelines for the interpretation of effect sizes are also presented, as well as the cautions in their use. Also, the article is accompanied by an Excel spreadsheet to facilitate and expedite the calculations for interested readers.No primeiro número da Revista Portuguesa de Investigação Comportamental e Social foi revista a importância de calcular, indicar e interpretar os tamanhos do efeito para as diferenças de médias de dois grupos (família d dos tamanhos do efeito). Os tamanhos do efeito são uma métrica comum que permite comparar os resultados das análises estatísticas de diferentes estudos, informando sobre o impacto de um fator na variável em estudo e sobre a associação entre variáveis. Depois de rever os tamanhos do efeito para as diferenças de médias entre dois grupos (Espirito-Santo e Daniel, 2015) e a maior parte da família r (Espirito-Santo e Daniel, 2017), faltava rever os tamanhos do efeito para a análise da variância. A análise da variância pode ser compreendida como uma extensão da família d a mais de dois grupos (ANOVA) ou como uma subfamília r em que a proporção da variabilidade é imputável a um ou mais fatores. Na subfamília r revista neste estudo, analisa-se a mudança na variável dependente que decorre de uma ou mais variáveis independentes. Esta análise debruça-se sobre os modelos lineares gerais, onde se incluem os modelos de regressão e a ANOVA. Este artigo fornece as fórmulas para calcular os tamanhos do efeito mais comuns, revendo os conceitos básicos sobre as estatísticas e facultando exemplos ilustrativos computados no Statistical Package for the Social Sciences (SPSS). As orientações para a interpretação dos tamanhos do efeito são também apresentadas, assim como as cautelas no seu uso. Adicionalmente, o artigo acompanha-se de uma folha de cálculo em Excel para facilitar e agilizar os cálculos aos interessados.Departamento de Investigação & Desenvolvimento do Instituto Superior Miguel Torga2018-02-28info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/vnd.openxmlformats-officedocument.spreadsheetml.sheettext/htmlhttps://doi.org/10.31211/rpics.2018.4.1.72https://doi.org/10.31211/rpics.2018.4.1.72Portuguese Journal of Behavioral and Social Research; Vol. 4 No. 1 (2018): February; 43–60Revista Portuguesa de Investigação Comportamental e Social; Vol. 4 N.º 1 (2018): Fevereiro; 43–602183-4938reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPporhttps://rpics.ismt.pt/index.php/ISMT/article/view/72https://rpics.ismt.pt/index.php/ISMT/article/view/72/PDFhttps://rpics.ismt.pt/index.php/ISMT/article/view/72/Excelhttps://rpics.ismt.pt/index.php/ISMT/article/view/72/htmlDireitos de Autor (c) 2018 Helena Maria Amaral Espirito Santo, & Fernanda Danielhttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessEspirito Santo, Helena Maria AmaralDaniel, Fernanda2023-05-25T22:00:50Zoai:ojs.rpics.ismt.pt:article/72Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:39:44.929173Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Calculating and reporting effect sizes on scientific papers (3): Guide to report regression models and ANOVA effect sizes
Calcular e apresentar tamanhos do efeito em trabalhos científicos (3): Guia para reportar os tamanhos do efeito para análises de regressão e ANOVAs
title Calculating and reporting effect sizes on scientific papers (3): Guide to report regression models and ANOVA effect sizes
spellingShingle Calculating and reporting effect sizes on scientific papers (3): Guide to report regression models and ANOVA effect sizes
Espirito Santo, Helena Maria Amaral
ANOVA
Regression analysis
Effect size
p-value
ANOVA
Análise de regressão
Tamanho do efeito
Valor p
title_short Calculating and reporting effect sizes on scientific papers (3): Guide to report regression models and ANOVA effect sizes
title_full Calculating and reporting effect sizes on scientific papers (3): Guide to report regression models and ANOVA effect sizes
title_fullStr Calculating and reporting effect sizes on scientific papers (3): Guide to report regression models and ANOVA effect sizes
title_full_unstemmed Calculating and reporting effect sizes on scientific papers (3): Guide to report regression models and ANOVA effect sizes
title_sort Calculating and reporting effect sizes on scientific papers (3): Guide to report regression models and ANOVA effect sizes
author Espirito Santo, Helena Maria Amaral
author_facet Espirito Santo, Helena Maria Amaral
Daniel, Fernanda
author_role author
author2 Daniel, Fernanda
author2_role author
dc.contributor.author.fl_str_mv Espirito Santo, Helena Maria Amaral
Daniel, Fernanda
dc.subject.por.fl_str_mv ANOVA
Regression analysis
Effect size
p-value
ANOVA
Análise de regressão
Tamanho do efeito
Valor p
topic ANOVA
Regression analysis
Effect size
p-value
ANOVA
Análise de regressão
Tamanho do efeito
Valor p
description In the first issue of the Portuguese Journal of Behavioral and Social Research, the importance of calculating, indicating, and interpreting the effect sizes for the differences of means of two groups (d family of effect sizes) was reviewed. Effect sizes are standard metrics that allows the comparison of the results of statistical analyzes of different studies. Effect sizes also report on the impact of a factor on the variable under investigation and the association between variables. After reviewing the effect sizes for the mean differences between two groups (Espirito-Santo & Daniel, 2015) and most of the r family (Espirito-Santo & Daniel, 2017), the review of effect sizes for analysis of variance was lacking. Analysis of variance can be understood as an extension of the d family to more than two groups (ANOVA) or as an r subfamily in which the proportion of variability is attributable to one or more factors. In the r subfamily reviewed in this study, we analyse the change in the dependent variable that results from one or more independent variables. This analysis is focused on general linear models, including regression models and ANOVA. This article provides the formulas for calculating the most common effect sizes by reviewing the basic concepts of the statistics and providing illustrative examples computed in the Statistical Package for the Social Sciences (SPSS). The guidelines for the interpretation of effect sizes are also presented, as well as the cautions in their use. Also, the article is accompanied by an Excel spreadsheet to facilitate and expedite the calculations for interested readers.
publishDate 2018
dc.date.none.fl_str_mv 2018-02-28
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv https://doi.org/10.31211/rpics.2018.4.1.72
https://doi.org/10.31211/rpics.2018.4.1.72
url https://doi.org/10.31211/rpics.2018.4.1.72
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rpics.ismt.pt/index.php/ISMT/article/view/72
https://rpics.ismt.pt/index.php/ISMT/article/view/72/PDF
https://rpics.ismt.pt/index.php/ISMT/article/view/72/Excel
https://rpics.ismt.pt/index.php/ISMT/article/view/72/html
dc.rights.driver.fl_str_mv Direitos de Autor (c) 2018 Helena Maria Amaral Espirito Santo, & Fernanda Daniel
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Direitos de Autor (c) 2018 Helena Maria Amaral Espirito Santo, & Fernanda Daniel
http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
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dc.publisher.none.fl_str_mv Departamento de Investigação & Desenvolvimento do Instituto Superior Miguel Torga
publisher.none.fl_str_mv Departamento de Investigação & Desenvolvimento do Instituto Superior Miguel Torga
dc.source.none.fl_str_mv Portuguese Journal of Behavioral and Social Research; Vol. 4 No. 1 (2018): February; 43–60
Revista Portuguesa de Investigação Comportamental e Social; Vol. 4 N.º 1 (2018): Fevereiro; 43–60
2183-4938
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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