Factores que influyen en el acoso sexual de docentes, estudiantes y empleados de la Escuela Superior Politécnica de Chimborazo

Abstract

This degree project identified the factors that influence the generation of sexual harassment situations involving students, teachers and administrative and service personnel of the Escuela Superior Politécnica de Chimborazo. The information used for the analysis was collected and provided by the Sexualities Research Group (GIS) belonging to the institution. The study population is formed by students, teachers and members of the administrative and service staff of the institution, 3731, 484 and 376 individuals were sampled respectively. The exploratory data analysis, data pre-processing, model building, and the generation of graphs was carried out using R 4.0.4 software and the RStudio 1.4.1106 development environment. The techniques used were the construction of decision trees and logistic regression models, given the qualitative nature of almost all the variables under study, a comparison was also made between the results obtained from both techniques. For the simples corresponding to students and teachers, the logistic model showed a better performance in its predictive capacity evaluated by means of the percentage of Area Under the Curve (AUC) observed by means of the corresponding confusion tables for each sample. AUC = 83.3% was obtained for students and AUC = 93.9% for teachers. For the administrative and service personnelsample, the best technique was the decision tree with an AUC = 78.82%. The use of logistic models is recommended for similar studies because of their greater predictive power and ease of interpretation, in addition to the use of RStudio for handling large amounts of data.