Prediction of Social Anxiety Based on Early Maladaptive Schemas in Students
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Ali Jamshidi , Farahnaz Meschi , Sharareh Zeighami Mohammadi |
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Abstract: (441 Views) |
Introduction: Predicting the role of early maladaptive schemas in students' social anxiety helps to identify students at risk, the possibility of early interventions to prevent the development and exacerbation of social anxiety, and improve the quality of life, mental health, and academic and social performance of students. Therefore, the research was conducted to predict social anxiety based on early maladaptive schemas in university students.
Methods This was a descriptive-correlational study. The statistical population included all students at the Islamic Azad University, Karaj Branch, during the first semester of the 2023-2024 academic year. A total of 200 students was selected for the study using a convenience sampling method based on predefined inclusion criteria. Data were collected using a demographic profile form, the Social Anxiety Questionnaire (Connor et al., 2000), and the Young Schema Questionnaire (Young et al., 2006). The data was analyzed using the SPSS version 23 software, linear regression tests, and Pearson's correlation coefficient at a significance level of P < 0.5.
Results: The results indicated that early maladaptive schemas explained 25% of the variance in social anxiety. Specifically, the domain of Disconnection and Rejection had a standardized regression coefficient of 0.29, and the domain of Impaired Autonomy had a standardized regression coefficient of 0.22, both contributing significantly to the explanation of the variance in social anxiety.
Conclusion: The findings showed that social anxiety can be predicted based on early maladaptive schemas. Therefore, it is suggested to develop educational programs and workshops in student counseling centers to identify and adjust maladaptive schemas, as well as to teach effective coping skills against students' social anxiety.
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Keywords: Students, Social anxiety, Early Maladaptive Schem, Disconnection and Rejection, Autonomy. |
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Full-Text [PDF 333 kb]
(230 Downloads)
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Type of Study: Quantitative-Research |
Subject:
General Received: 2024/07/14 | Accepted: 2024/09/14 | Published: 2024/10/1
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