Predicting Social Media Addiction Based on Zuckerman- Kuhlman Five Alternative Personality Traits and Meta-Diagnostic Factors (Perfectionism and Emotional Dysregulation)

The aim of this study is to predict social media addiction based on the five-factor personality of Zuckerman- Kuhlman alternative and meta-diagnostic factors (perfectionism and emotional dysregulation).

The research method was quantitative and correlational. The statistical population of this study was all students studying at the Islamic Azad University, North Tehran Branch in the academic year 1399-400, 32,000 according to the university's public relations report, of which 385 were using the Cochran's formula and sampling method. The selected individuals answered the following questionnaires: Khajeh Ahmadi and colleagues (2016) Virtual Social Network Addiction Questionnaire, Zuckerman- Kuhlman (2002) Factor Personality Questionnaire, Hewitt-Felt- Multidimensional Perfectionism-Scale (1991) and Gratez and Romer's Difficulties in Emotional Regulation Scale (2004).

The collected data were analyzed using Pearson correlation coefficient and multivariate regression analysis.

There is a significant relationship between Zuckerman- Kuhlman five personality factors and meta-diagnostic factors (perfectionism and emotional dysregulation) with social media addiction. The results of multiple regression analysis also revealed that 57.4% of the variance of social media addiction is explained by the five-factor personality of Zuckerman- Kuhlman and meta-diagnostic factors (perfectionism and emotional dysregulation). The findings of this study show that the five-factor personality of Zuckerman- Kuhlman alternatives and meta-diagnostic factors (perfectionism and emotional dysregulation) play an important role in predicting students' addiction to social networks.