RT Journal Article
T1 Prediction of emotional competence in future education teachers through a multiple logistic regression model and classification trees
T2 Predicción de la competencia emocional en futuro profesorado de educación a través de un modelo de regresión logística múltiple y árboles de clasificación.
A1 Mayorga-Fernández, María Josefa
A1 Sepúlveda-Ruiz, María del Pilar
A1 Guillén-Gámez, Francisco David
A1 García Vila, Elena
K1 Profesores - Formación profesional
K1 Investigación cuantitativa
K1 Inteligencia emocional
AB In order to know the level of emotional competence of future education teachers and evaluate the incidence that different personal andacademic factors, we have used binary logistic regression and classification trees. Non-experimental design was carried out, with asample of 359 students from the Faculties of Education of the University of Malaga and Almería. The results show that variables such asuniversity access scores, the average mark of the first four-month period of the first year of the degree, the effort before the study, beinga repeater, the choice of the degree as the first option and having siblings are significant predictors in the logistic model, where the lastvariable has the greatest determination capacity. Furthermore, in the segmentation tree it has been obtained that those students whodo have siblings have a higher level of development of emotional competence, with a probability of 69.2% and if they have also chosenthe degree as the first option, this percentage is increased to 75.9%. It can be concluded that it is essential to institutionally establishsufficient conditions so that teachers can detect the predictor variables and establish training strategies that allow increasing the levelof development of the competence emotional.
PB Universidad de Oviedo
YR 2022
FD 2022-09-15
LK https://hdl.handle.net/10630/39801
UL https://hdl.handle.net/10630/39801
LA eng
NO García-Vila, E., Mayorga-Fernández, M. J., Guillén-Gámez, F. D., & Sepúlveda-Ruiz, M. D. P. (2022). Prediction of emotional competence in future education teachers through a multiple logistic regression model and classification trees. Aula abierta, 51(3), 303-310. https://doi.org/10.17811/rifie.51.3.2022.303-310
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026