Calculating and reporting effect sizes on scientific papers (3): Guide to report regression models and ANOVA effect sizes
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | |
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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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 |
format |
article |
status_str |
publishedVersion |
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 text/html |
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) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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