Logistic regression: an application in the identification of variables affecting academic performance in the area of mathematics ; Regresión logística: una aplicación en la identificación de variables que inciden en el rendimiento académico, en el area de matemáticas ; Regressão logística: uma aplicação na identificação de variáveis que possam afetar o desempenho acadêmico, na área da matemática

This article is the result of a research that sought to identify among socioeconomic, demographic, family and personal variables, those that affect the academic performance of students in the area of mathematics. The research was also motivated by the poor performance of secondary students in this area, both at an institutional and local levels. Using a logistic regression model, the structural variables mentioned were analyzed. The data were obtained from a questionnaire applied to a sample of seventh graders of Santa Rosa de Lima School at the city of Sincelejo. In the questionnaire the students were asked about socioeconomic, demographic, family, personal and physical aspects of housing in which they live and which may be related to their academic performance. Data were processed using the Statgraphics software and the information was organized in tables. The results showed that academic achievement and student performance is subject not only to school factors, but also to social, economic and family variables of the context where the student develops. Among these factors are number of siblings, sex, marital status of parents, race, parents´ income, with whom the student lives and student´s interest in studying. ; Este artículo es el producto de una investigación que buscaba identificar entre las variables socioeconómicas, demográficas, familiares y personales, aquellas que influyen en el rendimiento académico de los estudiantes en el área de matemáticas. A su vez, la investigación estuvo motivada por el bajo rendimiento que los estudiantes del nivel básico secundario registran en dicha área, tanto a nivel institucional como local. Aplicando un modelo de regresión logística, se analizaron las variables estructurales mencionadas. Los datos se obtuvieron con la realización de un cuestionario aplicado a una muestra de estudiantes del grado séptimo de la Institución Educativa Santa Rosa de Lima de la ciudad de Sincelejo, en el que se indagó sobre aspectos socioeconómicos, demográficos, familiares, personales y ...