فصلنامه روانشناسی شناختی

This study aimed to examine the mediating role of psychological flexibility in the relationship between maladaptive schemas and psychological distress. The research design employed in this study was descriptive-correlational, utilizing structural equation modeling. The population of this study included all undergraduate students of Poldokhtar Higher Education Center during 2020-2021. The size of the statistical sample according to Klein's rule of thumb equals 230 people, which was done by an available sampling method and an online questionnaire. The Young Schema Questionnaire, the Cognitive Flexibility Inventory by Dennis and Vanderwal, and the Kessler Psychological Distress Scale were used to collect the data. The data was analyzed using structural equation modeling, and bootstrapping was employed to examine the mediating role of variables. The results indicated that maladaptive schemas have a direct significant effect on psychological distress (P < 0.01) and an indirect effect through psychological flexibility (P < 0.01). Based on the results, the research model demonstrated a good fit. By reducing maladaptive schemas, students can enhance their psychological flexibility, which may lead to overcoming academic issues and reducing psychological distress.

The aim of the present study was to model the structural equations of smartphone addiction based on the formation of anxiety and depression mediated by metacognition in male adolescent students. The present study is a descriptive correlational study in terms of method. The statistical population of this study was male students of Karaj Education District One in the academic year 1403-1404, of which 361 people were randomly selected. The Wells and Cartwright-Haughton (2004) Metacognition Questionnaire, Levy-Band DASS-21 (1995) and Owen et al. (2013) questionnaire were used to collect data. The data were analyzed using Pearson correlation and structural equation modeling methods. The findings showed that this model had a good fit in male adolescent students. Other findings showed that anxiety (β=0.42, p<0.01), depression (β=0.11, p<0.01), and metacognition (β=0.40, p<0.01) have a direct and positive effect on smartphone addiction. The results of the study indicate that psychological interventions based on metacognition can effectively play a role in reducing dependence on new technologies.