THE INVESTIGATION OF THE INTERNET ADDICTION LEVELS OF UNIVERSITY STUDENTS IN TERMS OF SOME DEMOGRAPHIC VARIABLES AND SELF-ESTEEM

The aim of this research is to examine the internet addiction levels of university students in terms of gender, daily time spent online, the frequency of daily internet use and self-esteem. A total of 169 volunteer university students, 127 (75.1%) and 42 (24.9%) men, participated in this study. The data were collected with "Personal Information Form", "Young’s Internet Addiction Test-Short Form" and "Two Dimensional Self-Esteem Scale". Independent samples t-test, ANOVA, Pearson Product-Moment correlation analysis and simple linear regression analysis techniques were used in data analysis. In the research findings, it has been revealed that university students who use internet for 7 hours or more have higher total scores of the internet addiction than university students who use internet for 1-2 hours daily. In addition, the group with the highest internet addiction scores was found to be university students who use the internet continuously. Finally, the self-esteem was found to be significant predictor of the internet addiction. Article visualizations