2008
DOI: 10.1590/s0102-311x2008000600020
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Correspondence analysis: a method for classifying similar patterns of violence against women

Abstract: Violence against woman has received relatively little debate in society. It includes physical, psychological, and sexual abuse that jeopardizes the victim's health. Multivariate correspondence analysis and cluster analysis were applied to crimes reported to the Integrated Women's Aid Center in Rio de Janeiro, Brazil, to investigate associations between injury and define criteria for classifying the aggressions. Three groups of abuse were identified, differing according to the nature (physical, psychological, o… Show more

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Cited by 13 publications
(6 citation statements)
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“…Only recently, this type of analysis has been used in health care studies and has proven to be a very useful tool for the analysis of categorical data and to identify groups that share the same risk factors 18,19,[22][23][24][25] . In the present study, the formation of three clusters with distinct victimization profiles was observed.…”
Section: Discussionmentioning
confidence: 99%
“…Only recently, this type of analysis has been used in health care studies and has proven to be a very useful tool for the analysis of categorical data and to identify groups that share the same risk factors 18,19,[22][23][24][25] . In the present study, the formation of three clusters with distinct victimization profiles was observed.…”
Section: Discussionmentioning
confidence: 99%
“…Correspondence analysis, 8 which enables better graphic visualization of the relationships between these variables, was used to study the categorical nominal variables of the initial survey of the published articles. The general purpose of using correspondence analysis is to graphically represent the data frequencies in the form of a contingency table.…”
Section: Discussionmentioning
confidence: 99%
“…Além disso, a ACM permite que se estabeleçam perfis de cada caso observado, possibilitando avaliar a relação entre os casos e as variáveis analisadas, permitindo identificar grupos que possuam os mesmos fatores de risco. Para verificar a confiabilidade interna das dimensões formadas e obter uma estimativa apropriada da magnitude da variância, a ACM calcula o coeficiente de alfa de Cronbach 3,17 .…”
Section: Methodsunclassified