Investigating the Role of Depression in Predicting Internet Addiction in High School Adolescents
محل انتشار: فصلنامه مطالعات روابط انسانی، دوره: 1، شماره: 1
سال انتشار: 1400
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 251
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شناسه ملی سند علمی:
JR_HRS-1-1_004
تاریخ نمایه سازی: 30 شهریور 1400
چکیده مقاله:
The aim of this study is to investigate the function of depression in prediction Internet addiction in high school students in Sari. The research method was descriptive-correlation and its statistical population included all high school students who were studying in ۲۰۲۰ and the sample of this study chooses ۱۰۰ people was selected by available sampling. Beck Depression Inventory and Kimberly Young Internet Addiction Questionnaire were used to collecting data. Pearson correlation analysis and multivariate regression were used to analyze the data. The results showed that there was a positive and significant relationship between depression (R = ۴۵۹) and Internet addiction (P <۰.۰۱). The results of regression analysis also showed that the predictor variable (independent) of depression can predict (criterion variable) students' Internet addiction. In summary, we can infer from the results that depression has a significant relationship with Internet addiction. Thus, depressed students were more likely to use the Internet addictively and students with low depression scores were less likely to use the Internet addictively.
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نویسندگان
Nasim Amini
Master of Clinical Psychology, Faculty of Educational Sciences and Psychology, University of Mohaghegh Ardabili, Ardabil, Iran.
Ramazan Hassanzadeh
Professor of Department of Psychology,Sari Branch,Islamic Azad University,Sari,Iran