Síntomas Depresivos en Estudiantes Universitarios y su Relación con el Uso Adictivo a las Redes Sociales
In the development of this research work, both general and specific objectives have been outlined to determine the relationship between depressive symptoms and the addictive use of social networks in a sample of university students belonging to the University of La Guajira, Maicao campus. Regarding...
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Formato: | Trabajo de grado (Pregrado y/o Especialización) |
Lenguaje: | spa |
Publicado: |
Universidad Antonio Nariño
2024
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Materias: | |
Acceso en línea: | http://repositorio.uan.edu.co/handle/123456789/9357 https://bibliotecadigital.uchile.cl/discovery/fulldisplay/alma991007506868403936/56UD C_INST:56UDC_INST Arias, F. (2012). El Proyecto de Investigación. Introducción a la Metodología Científica. 6ta. Edición (Sexta). Episteme. |
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Sumario: | In the development of this research work, both general and specific objectives have been
outlined to determine the relationship between depressive symptoms and the addictive use of social
networks in a sample of university students belonging to the University of La Guajira, Maicao
campus. Regarding the methodology, it was a quantitative approach, non-experimental design with
cross-sectional correlational scope, in addition, programs such as EXCEL, JASP and SPSS were
used for data treatment and analysis. The population was delimited through simple random
sampling, obtaining a sample of 99 university students from the aforementioned headquarters. The
psychometric instruments used were the Beck Depression Inventory (BDI-II) and the Social Media
Addiction Questionnaire (ARS). The general result was achieved using Spearman's Rho
statistician, obtaining a p<.01 and a correlation coefficient of 0.308, in addition to an ordinal
regression analysis of p<.01 and a β= 0.824. Therefore, it was concluded that there is a low positive
correlation between both variables in the population of the University of La Guajira, Maicao
headquarters, and also that depression is a statistically significant predictor of social network
addiction |
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