Read this paper if you want to learn logistic regression
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista de Sociologia e Política |
Texto Completo: | https://revistas.ufpr.br/rsp/article/view/78515 |
Resumo: | ABSTRACT Introduction: What if my response variable is binary categorical? This paper provides an intuitive introduction to logistic regression, the most appropriate statistical technique to deal with dichotomous dependent variables. Materials and Methods: we estimate the effect of corruption scandals on the chance of reelection of candidates running for the Brazilian Chamber of Deputies using data from Castro and Nunes (2014). Specifically, we show the computational implementation in R and we explain the substantive interpretation of the results. Results: we share replication materials which quickly enables students and professionals to use the procedures presented here for their studying and research activities. Discussion: we hope to facilitate the use of logistic regression and to spread replication as a data analysis teaching tool.KEYWORDS: regression; logistic regression; replication; quantitative methods; transparency. |
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Read this paper if you want to learn logistic regressionABSTRACT Introduction: What if my response variable is binary categorical? This paper provides an intuitive introduction to logistic regression, the most appropriate statistical technique to deal with dichotomous dependent variables. Materials and Methods: we estimate the effect of corruption scandals on the chance of reelection of candidates running for the Brazilian Chamber of Deputies using data from Castro and Nunes (2014). Specifically, we show the computational implementation in R and we explain the substantive interpretation of the results. Results: we share replication materials which quickly enables students and professionals to use the procedures presented here for their studying and research activities. Discussion: we hope to facilitate the use of logistic regression and to spread replication as a data analysis teaching tool.KEYWORDS: regression; logistic regression; replication; quantitative methods; transparency.UFPRFernandes, Antônio Alves TôrresFigueiredo Filho, Dalson BrittoRocha, Enivaldo Carvalho daNascimento, Willber da Silva2020-12-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/rsp/article/view/78515Revista de Sociologia e Política; v. 28, n. 74 (2020): JUNHO; 1-191678-98730104-4478reponame:Revista de Sociologia e Políticainstname:Universidade Federal do Paraná (UFPR)instacron:UFPRporhttps://revistas.ufpr.br/rsp/article/view/78515/42350Direitos autorais 2020 Revista de Sociologia e Políticainfo:eu-repo/semantics/openAccess2020-12-15T21:05:42Zoai:revistas.ufpr.br:article/78515Revistahttps://revistas.ufpr.br/rspPUBhttps://revistas.ufpr.br/rsp/oai||editoriarsp@ufpr.br1678-98730104-4478opendoar:2020-12-15T21:05:42Revista de Sociologia e Política - Universidade Federal do Paraná (UFPR)false |
dc.title.none.fl_str_mv |
Read this paper if you want to learn logistic regression |
title |
Read this paper if you want to learn logistic regression |
spellingShingle |
Read this paper if you want to learn logistic regression Fernandes, Antônio Alves Tôrres |
title_short |
Read this paper if you want to learn logistic regression |
title_full |
Read this paper if you want to learn logistic regression |
title_fullStr |
Read this paper if you want to learn logistic regression |
title_full_unstemmed |
Read this paper if you want to learn logistic regression |
title_sort |
Read this paper if you want to learn logistic regression |
author |
Fernandes, Antônio Alves Tôrres |
author_facet |
Fernandes, Antônio Alves Tôrres Figueiredo Filho, Dalson Britto Rocha, Enivaldo Carvalho da Nascimento, Willber da Silva |
author_role |
author |
author2 |
Figueiredo Filho, Dalson Britto Rocha, Enivaldo Carvalho da Nascimento, Willber da Silva |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Fernandes, Antônio Alves Tôrres Figueiredo Filho, Dalson Britto Rocha, Enivaldo Carvalho da Nascimento, Willber da Silva |
description |
ABSTRACT Introduction: What if my response variable is binary categorical? This paper provides an intuitive introduction to logistic regression, the most appropriate statistical technique to deal with dichotomous dependent variables. Materials and Methods: we estimate the effect of corruption scandals on the chance of reelection of candidates running for the Brazilian Chamber of Deputies using data from Castro and Nunes (2014). Specifically, we show the computational implementation in R and we explain the substantive interpretation of the results. Results: we share replication materials which quickly enables students and professionals to use the procedures presented here for their studying and research activities. Discussion: we hope to facilitate the use of logistic regression and to spread replication as a data analysis teaching tool.KEYWORDS: regression; logistic regression; replication; quantitative methods; transparency. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-15 |
dc.type.none.fl_str_mv |
|
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revistas.ufpr.br/rsp/article/view/78515 |
url |
https://revistas.ufpr.br/rsp/article/view/78515 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://revistas.ufpr.br/rsp/article/view/78515/42350 |
dc.rights.driver.fl_str_mv |
Direitos autorais 2020 Revista de Sociologia e Política info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Direitos autorais 2020 Revista de Sociologia e Política |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
UFPR |
publisher.none.fl_str_mv |
UFPR |
dc.source.none.fl_str_mv |
Revista de Sociologia e Política; v. 28, n. 74 (2020): JUNHO; 1-19 1678-9873 0104-4478 reponame:Revista de Sociologia e Política instname:Universidade Federal do Paraná (UFPR) instacron:UFPR |
instname_str |
Universidade Federal do Paraná (UFPR) |
instacron_str |
UFPR |
institution |
UFPR |
reponame_str |
Revista de Sociologia e Política |
collection |
Revista de Sociologia e Política |
repository.name.fl_str_mv |
Revista de Sociologia e Política - Universidade Federal do Paraná (UFPR) |
repository.mail.fl_str_mv |
||editoriarsp@ufpr.br |
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