Model Structure of Social Network Addiction among Male and FemaleStudents
International Journal of Applied Behavioral Sciences,
Vol. 7 No. 3 (2020),
1 September 2020
,
Page 1-12
https://doi.org/10.22037/ijabs.v7i3.30981
Abstract
Introduction: Most of the people have at least one smartphone, spending most of their time, approximately 20 hours a week, on their smartphone. The main purpose of the current research was to study model structure of social network addiction among male and female students.
Method: In terms of purpose, the research is practical and in terms of data collection method is descriptive based on survey. In spite of various social networks, only two, Telegram and Instagram, have been chosen. The statistical population of the study were 5196 students studying in Azad Islamic University, Garmsar Branch. Student form of Social media addiction scale (SMAS-SF) and demographic information questionnaire were applied to all the research participants.
Results: Among 397 subjects, 114 individuals, 28.7% used only Telegram, 72 individuals used only Instagram and 211 of them use both Telegram and Instagram. Comparing the means shows that Internet addiction among male students was higher than female ones (p<0.05). The results of ANOVA showed the highest social network addiction is among the age groups 25 years and younger, and the lowest mean is for the age group 41 years and older.
Conclusion: According to the results of the research, it can be concluded that among the students of the sample, the rate of addiction to social networks is higher than average, and the necessary interventions should be provided to solve this problem.
- Social addiction, Telegram, Instagram, Students.
How to Cite
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