In collaboration with Payame Noor University and Iranian Association of Social Psychology

Document Type : Research Paper

Authors

1 M.Sc. in General Psychology, Department of Psychology, Faculty of Social Sciences, Imam Khomeini International University, Qazvin, Iran.

2 Professor, Department of Psychology, Faculty of Social Sciences, Imam Khomeini International University, Qazvin, Iran.

3 Assistant Professor, Department of Psychology, Faculty of Social Sciences, Imam Khomeini International University, Qazvin, Iran.

10.30473/sc.2025.75358.3086

Abstract

 The present study aimed to develop a structural model of Internet addiction based on cognitive emotion self-regulation and impulsivity mediated by perceived social support in students. Method: The research method was descriptive-correlational type of structural equation modeling. The statistical population of the study included all students of Imam Khomeini International University in Qazvin in the academic year 2023-2024, from which a sample of 360 people was selected by multi-stage cluster random sampling method. The research tools included Young's Internet Addiction Test (IAT), Cognitive Emotion Regulation Questionnaire (CERQ), Barrett's Impulsivity Scale (BIS-11) and Multidimensional Scale of Perceived Social Support (MSPSS). The data were analyzed through structural equation modeling by using two software SPSS-26 and Amos-29. Results: The findings showed that the conceptual model of the study has a good fit and the variables of cognitive emotion self-regulation, impulsivity and perceived social support have a direct and significant effect on Internet addiction. In the indirect paths, the effect of cognitive emotion self-regulation and impulsivity with the mediation of perceived social support on Internet addiction were confirmed. Conclusion: As a result, it can be said that the disability to cognitive emotion self-regulation, impulsive behaviors, and low levels of perceived social support can lead to Internet addiction in individuals. Therefore, paying attention to such influential factors in designing appropriate treatments and preventing Internet addiction can be very effective.

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