Determinación de factores influyentes en la autoestima y relaciones interpersonales mediante regresión en los estudiantes de la Unidad Educativa “Once De Noviembre”, Latacunga, 2021-2022

Abstract

The objective of this research was to determine the influential factors in self-esteem and interpersonal relationships to explain the behavior of the students of the Educational Unit "Once de Noviembre", Latacunga, 2022. Eight qualitative and three quantitative variables were analyzed, the exploratory and correlation analysis through the Pearson and Spearman coefficient was done in order to find statistical association, followed by the adjustment of the best ordinal multinomial logistic regression model and the Chi-square test of independence. It was obtained as results that 76% of the individuals have average self-esteem, 60% average interpersonal relationships, average age of thirteen years, average weight of 46 kg, average height of 1.50 meters and two siblings on average. It was identified that the variables weight, age and height have a strong positive linear relationship, no categorical variable showed a strong relationship. The regression model for self-esteem with a predictive capacity of approximately 77% identified socioeconomic status, academic performance, and height as influential factors. The model for interpersonal relationships, with a predictive capacity of approximately 60%, the number of siblings and behavior were identified as influential factors. It was verified that self-esteem and interpersonal relationships have no statistical association. Height and socioeconomic level had a negative influence on self-esteem, while academic performance had a positive influence. The number of siblings had a negative influence on interpersonal relationships, while the behavior does so in a positive way. It is recommended to expand the study in children, youngsters or adults where professionals from the area of psychology and statistics are involved. To improve the predictive capacity of the models, it is advisable to look for other explanatory variables that justify their importance from a theoretical and statistical approach.