Influência das características socioecônomicas sobre o desempenho no ENEM em Ciências Exatas

• Autor(a) principal: Andrade, Lorena França
• Data de Publicação: 2019
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UFS
• Texto Completo: http://ri.ufs.br/jspui/handle/riufs/12212
• topic: Estatística; Ensino de estatística; Ciências Atuariais; Exame Nacional do Ensino Médio (ENEM); Ciências exatas; Desempenho educacional; Exact Sciences and Their Technologies; Educational performance; CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA::ESTATISTICA::ANALISE DE DADOS; CIENCIAS SOCIAIS APLICADAS::ECONOMIA::METODOS QUANTITATIVOS EM ECONOMIA::ESTATISTICA SOCIO-ECONOMICA

This paper aims to evaluate the relationship between the performance of students from Sergipe state in ENEM and their socioeconomic conditions. Therefore, in order to expose some points that can be improved from the knowledge of these profiles in the institutions in Sergipe from the perspective of the subscribers. For the analysis we used the ENEM 2016 microdata, made available by INEP. Techniques of factor analysis (with Varimax rotation) and generalized linear models (binomial family with logit connection) were extracted in the data analysis. Throughout the work it was shown that in the mathematical question, it is possible to notice that the parameters presented significance (p<0,001), which shows the existence of significant association between these variables and the mathematics grade in Enem 2016. It was admitted as satisfactory performance students who scored above the median (450 points). Six factors were selected, maintaining 63.48% of the total variation. The results showed that factor 1 (residents in Aracaju, father or mother with higher education, high family income and who never studied in a public school), factor 3 (white or yellow candidates) and factor 5 (students from regular education, who day shift and who never dropped out or failed) functioned as protective factors for poor test performance (Odds Ratio, respectively equal to 0.67, 0.95 and 0.87), while factor 2 (older candidates , married or in stable union, who have already completed high school and who work), factor 4 (candidates whose parents have only elementary or high school) and factor 6 (female and those without access to computer or internet) were verified as risk factors for satisfactory performance in Exact and Technological Sciences (Odds Ratio, respectively, 1.05, 1.03 and 1.47).