Psychometric Properties of the Persian Version of the Instagram Addiction Test (IAT) in the Iranian Population

Introduction: Nowadays, Instagram has become one of the most widely used social media platforms in Iran and around the world. This study aimed to examine the psychometric properties of the Persian version of the Instagram Addiction Test in Iran. Method: This cross-sectional study utilized an online survey methodology to assess Instagram usage patterns and addiction levels among Iranian users. The survey which was conducted in 2020, targeted a diverse population across various regions of Iran, providing a comprehensive overview of the national Instagram user demographic. The sample comprised 950 participants, selected through convenience sampling approach. Key instruments included the Instagram Addiction Test (1998), the Connor-Davidson Resilience Scale (2003), and the Addiction to Mobile Questionnaire Based on Social Networks (2015). To ensure psychometric analysis, we employed construct validity via exploratory factor analysis, divergent validity through correlation assessment between Instagram addiction and resilience subscales, and convergent validity by evaluating the correlation patterns within Instagram addiction constructs. All data was analyzed using SPSS- 25. Results: The reliability, indicated by a Cronbach's alpha of 0.706, surpasses the accepted benchmark (α > 0.7), confirming the internal consistency of the tool. Conclusion: This study had substantiated the validity and reliability of the Persian version of the Instagram Addiction Test, affirming its efficacy in measuring dependency levels on this social media platform.

Psychometric Properties of the Persian Version of the Instagram Addiction Test (IAT) in the Iranian Population Keywords:

Instagram , Internet addiction , Mobile , Reliability , Resilience