The Prediction of Internet Addiction in Female Students Based on Cloninger’s Temperament and Character
Publish place: Journal of Modern Psychology، Vol: 1، Issue: 1
Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_JMPSY-1-1_006
تاریخ نمایه سازی: 3 آذر 1400
Abstract:
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.
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Authors
ندا نژادحمدی
Ph.D. Candidate in Educational Psychology, Allame Tabatabaei University
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