Prediction of internet addiction based on the alexithymia, positive and negative academic emotions and self-control in students

The aim of the present study is to predict the internet addiction based on the alexithymia, positive and negative academic emotions and self-control in students.
The study is descriptive and correlational. The statistical population consisted of students of Tabriz University 96-1395 academic year were among the 400 based on Morgan table and were selected by multistage cluster sampling. To collect data from questionnaires Young internet addiction, alexithymia Bagby and et al, positive and negative emotions Watson & Tellegen and self-control Tanjy were used. Data analysis using Pearson correlation, regression and independent t-test was performed.
The results showed that there is significant relationship positive between difficulty in identifying feelings, difficulty describing feelings, externally oriented thinking, and negative emotions with internet addiction among students. On the other hand, there is a significant and negative relationship between positive emotions and self-control among primary and inhibiting with internet addiction. Also multiple regression analysis also showed that alexithymia, positive and negative emotions and self-control are capable of 24% of the variation Internet addiction are predicting in students. On the other hand there are significant differences between male and female students with internet addiction. The rate of addiction to internet is indicated as high in male students.
Therefore, the role of alexithymia humor, negative emotions and the increase in positive emotions and self-control can affect the internet addiction.