Predicting Social Network Addiction Based on Maladaptive Schemas Mediated by Psychological Capital

The present study aimed to model structural equations for predicting social network addiction based on initial maladaptive schemas mediated by psychological capital in students during corona quarantine days. The present study was a correlational study and the present study was an applied goal. The statistical population included all female high school students in District 9 of Tehran in the academic year of 1998-99, whose number was about 10,000 and from among them, 294 people were selected based on Howitt and Cramer's opinion. To collect data from the psychological capital questionnaire of Loutanz, made by researchers question of orientationnairs to using social media of Momeni and Taghilou and questionnaire of schema maladaptive of Yang. According to statistical reports, Cronbach's alpha coefficients of all variables were close to 0.7 or higher, indicating that the items of the questionnaires used to measure the variables of the study have acceptable internal consistency. Findings of this study showed that early maladaptive schemas positively and significantly as well as psychological capital negatively and significantly predict social network addiction and psychological capital positively and significantly predict the relationship between maladaptive schemas It mediates primary and social media addiction.The results showed that early maladaptive schemas positively predict social network addiction. It was also found that psychological capital negatively and significantly predicts addiction to social networks and psychological capital positively and meaningfully mediates the relationship between early maladaptive schemas and addiction to social networks.