The Prediction of Internet Addiction in Female Students Based on Cloninger’s Temperament and Character

Document Type : Research Article

Author

Ph.D. Candidate in Educational Psychology, Allame Tabatabaei University

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 2019-2020. Moreover, a sample population of 150 people was selected through the convenience sampling method. Young's Internet Addiction Test and Cloninger’s Temperament and Character Inventory (TCI-125) 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=-0.355) could account for 18.6% of variances of Internet addiction. The results of stepwise regression showed that persistence (b=-0.349) could predict 12.2% of variances of Internet addiction. Then, self-directedness was added to the prediction model which increased the explained variances of Internet addiction up to 15.4% of which 3.2% 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.

Keywords

References

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History

  • Receive Date: 01 March 2021
  • Revise Date: 20 April 2021
  • Accept Date: 28 April 2021
  • First Publish Date: 28 April 2021

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