Read this paper if you want to learn logistic regression

Bibliographic Details
Main Author: Fernandes, Antônio Alves Tôrres
Publication Date: 2020
Other Authors: Figueiredo Filho, Dalson Britto, Rocha, Enivaldo Carvalho da, Nascimento, Willber da Silva
Format: Article
Language: por
Source: Revista de Sociologia e Política
Download full: https://revistas.ufpr.br/rsp/article/view/78515
Summary: 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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spelling 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
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dc.source.none.fl_str_mv Revista de Sociologia e Política; v. 28, n. 74 (2020): JUNHO; 1-19
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reponame:Revista de Sociologia e Política
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