Perfil dos alunos dos cursos de graduação na modalidade à distância de uma instituição de ensino superior da região metropolitana de Belo Horizonte: aplicação da análise de correspondência múltipla

Abstract

This study aimed to identify the profile of students studying in distance learning, using multiple correspondence analysis technique to verify the associations between the study variables. Applying this analysis technique in the database also enabled an individual and joint analysis of all categorical variables, resulting in the generation of graphs and charts that allow for quick viewing and understanding the behavior of research data. The data set of this research consists of 204 questionnaires answered by students who attended the 2nd period of undergraduate distance in the year 2014. To identify the profile of the students, the statistical technique Descriptive data was used. In the survey, students surveyed identified themselves have over 30 years of age, are married, have children, work and study and receive up to three minimum wages. In addition, it was noted that the largest number of students enrolled in 2nd period surveyed in 2014 are female. Therefore, it was concluded that multiple correspondence analysis coupled with computational tools facilitates handling large databases classified and without the use of mathematical calculations. Moreover, this exploratory data analysis technique allows to analyze the relationships between variables, and categorical variables and variables and objects