Volume 16, Issue 20 (3-2023)                   JNIP 2023, 16(20): 0-0 | Back to browse issues page

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Rafiei F. The Role of Religious Identity in Predicting Internet Addiction and Drug Addiction (A Case Study of Adolescent Female Students in Pardis District of Tehran). JNIP 2023; 16 (20)
URL: http://jnip.ir/article-1-892-en.html
Master's degree in clinical psychology, Islamic Azad University, Electronics Department, Iran
Abstract:   (312 Views)
The purpose of this research was to determine the role of religious identity in predicting Internet addiction and drug addiction. The method of this research was applied in terms of objective, quantitative in terms of data type, and correlational in terms of the nature of descriptive research. The statistical population of this research included 870 female students of the second year of high school in Tehran campus in 1400, based on Cochran's formula and stratified cluster random sampling method, 267 people were selected as the sample size. In this research, in order to collect data, the standard questionnaires of Khashawi's religious identity (1300), Yang's Internet addiction (1669) and drug addiction of Mousavi et al. (1378) were used. It should be noted that Cronbach's alpha coefficient was used to calculate the validity of the content validity and to calculate the reliability, the results indicated the validity and reliability of the instrument. In order to analyze the data, descriptive statistics (mean, standard deviation, percentage, frequency, table and graph) and inferential statistics (Pearson's correlation) and multiple regression were used with SPSS version 21 software. The findings showed that religious identity has the ability to predict Internet addiction, and the beta coefficient was -0.65. Also, the findings showed that religious identity has the ability to predict drug addiction, and the beta coefficient was -0.16. Finally, it can be said that the dimensions of religious identity, including religious beliefs, religious emotions and feelings, and religious behaviors have the ability to predict Internet addiction and drug addiction.
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Type of Study: Research | Subject: Special
Received: 2023/05/2 | Accepted: 2023/03/30 | Published: 2023/03/30

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