Vol 8 No 3 (2021)
Articles

The Predictive Ability of Social Anxiety within Internet Addiction among University Students

Bassam Hilal ALHarbi
Assistant Professor of Psychological and Educational Counseling, Faculty of Educational Sciences, The Hashemllite University, Zarqa, Jordan.
Salama Aqeel Al-Mehsin
Associate Professor, Educational Psychology, The Ministry of Education, Jordan.
Jaafar Kamel Al-Rababaah
Professor of Educational Psychology, Al-Balqa Applied University, Jordan.
Khaled Ahmed Abdel-Al Ibrahim
Associate Professor of Educational Psycholog, College of Education, Prince Sattam bin Abdulaziz and Sohag University, Egypt.
Published August 17, 2021
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122 Views | 60 Downloads
Keywords
  • Internet addiction, Social anxiety, University students, Predictive ability.
Citations
How to Cite
ALHarbi, B. H., Al-Mehsin, S. A., Al-Rababaah, J. K., & Abdel-Al Ibrahim, K. A. (2021). The Predictive Ability of Social Anxiety within Internet Addiction among University Students. Journal of Education and E-Learning Research, 8(3), 290-298. https://doi.org/10.20448/journal.509.2021.83.290.298

Abstract

The study aimed to identify the predictive ability of social anxiety in Internet addiction among university students, by relying on the relational descriptive approach. The study sample consisted of (462) male and female students from the Faculty of Educational Sciences at the Hashemite University who were selected through the available random method and were assessed by the social anxiety scale and the Internet addiction scale prepared by Young (1997) which was modified by Widyanto and McMurran (2004) after confirming the appropriateness of its psychometric properties. The study results found that social anxiety level and Internet addiction level were high among the study sample and indicated a statically significant correlation at level (0.01) between the social anxiety level and the level of Internet addiction, which indicates that the higher the social anxiety level, the higher the internet addiction level and that social anxiety works as a predictor of the internet addiction. Results also indicated a nonexistence of statistically significant differences in the social anxiety level as well as the level of Internet addiction due to gender. The current study recommended the activation of students’ counseling services for students within the university and society as a whole to train them on controlling and self-control, which reduce the social anxiety and increase the university's interest about Internet addiction phenomenon in addition to holding awareness programs to help solve problems of this phenomenon.

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