ندا نژادحمدی - Ph.D. Candidate in Educational Psychology, Allame Tabatabaei University

The present study was conducted on female students of Allameh Tabataba'i University to predict Internet addiction through a seven-factor Cloninger model. The statistical population of the study consisted of all female students of Allameh Tabataba'i University studying in the academic year ۲۰۱۹-۲۰۲۰. Moreover, a sample population of ۱۵۰ people was selected through the convenience sampling method. Young's Internet Addiction Test and Cloninger’s Temperament and Character Inventory (TCI-۱۲۵) were administered to the sample population. The data were analyzed by Pearson’s correlation test, multiple regression. Results of Enter regression indicated that persistence dimension (b=-۰.۳۵۵) could account for ۱۸.۶% of variances of Internet addiction. The results of stepwise regression showed that persistence (b=-۰.۳۴۹) could predict ۱۲.۲% of variances of Internet addiction. Then, self-directedness was added to the prediction model which increased the explained variances of Internet addiction up to ۱۵.۴% of which ۳.۲% accounts particularly for self-directedness. This study may contribute to more accurate identification of involved factors in this phenomenon and provide a proper approach for prevention and treatment in line with those focused on evaluating the effective factors on Internet addiction.

character, Internet addiction, Temperament