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year 10, Issue 10 (Spring 2022 2022)
Rooyesh 2022, 10(10): 275-286 |
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Gholami S, Vahedi S, Allahdadi M. (2022). Internet addiction and its relationship with social anxiety and depression of female university students: A cluster analytic approach. Rooyesh. 10(10), 275-286.
URL: http://frooyesh.ir/article-1-2980-en.html
URL: http://frooyesh.ir/article-1-2980-en.html
1- Assistant Professor in Pschology, Larestan higher Education Complex, Larestan. Iran. , somayeg@yahoo.com
2- Professor in Psychology, University of Tabriz, Tabriz, Iran.
3- Master of Educational Psychology, University of Tabriz, Tabriz, Iran.
2- Professor in Psychology, University of Tabriz, Tabriz, Iran.
3- Master of Educational Psychology, University of Tabriz, Tabriz, Iran.
Abstract: (2537 Views)
The aim of this study was to determine the number of Internet dependency clusters and then compare different groups in social anxiety and depression. The present study population consisted of undergraduate female dormitory students of Shiraz University. 370 female students were selected using the multi-stage cluster random sampling method. For gathering data, of Young internet addiction test (IAT), Beck depression inventory (BDI), and social anxiety Liebowitz questionnaire (LSAS) were utilized. Data were analyzed by cluster analysis and MANOVA. The results of cluster analysis showed three clusters with the mind, moderate and severe degrees of internet addition (P≤ 0/001). Also, significant differences among 3 profiles were found in depression (P≤ 0/001) and social anxiety (P≤0/01). Mild Internet addiction clusters experience the least amount of depression. According to the results, it's necessary to examine internet addiction as a psychological problem and cultural educational and family systems plan to solve this problem.
Type of Article: Applicable |
Subject:
addiction
Received: 2021/06/28 | Accepted: 2021/10/24 | ePublished: 2022/01/30
Received: 2021/06/28 | Accepted: 2021/10/24 | ePublished: 2022/01/30
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