Addiction to Social Networks and Its Influence on the Academic Performance of the Students: An Analysis from the Bayesian Approach

Social networks are websites and applications that favor the teaching-learning process because you can communicate, share information and establish relationships between students and teachers. In this research, an estimation of the relationship between the addition to social networks and the academic performance of university students is carried out. For this, the Bayesian factor is used, in whose analysis technique it characterizes the posterior distribution and the Bayes factor is estimated, which measures the linear relationship between two variables of the scale, following a bivariate normal distribution. For this purpose, a sample of students from the Middle Zone Multidisciplinary Academic Unit of the UASLP is analyzed. The sample includes 200 students. The Social Networks The instrument is made up of three dimensions: obsession with social networks, lack of personal control in the use of social networks and excessive use of the social network. The results indicate that there is not enough evidence to say that there is a relationship between obsession with social networks, lack of personal control in the use of social networks and excessive use of social networks with academic performance, because the Bayesian Factor value is between 10 and 30. Copyright

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