Journal of Modern Psychology

Journal of Modern Psychology

Predicting Speech Anxiety Based on Social Intelligence and Resilience in Students

Document Type : Research Article

Author
Assistant Professor of Psychology, Department of Psychology and Counseling, Ahrar Institute of Higher Education, Rasht, Iran.
Abstract
Objective: The present study aimed to predict students’ speech anxiety based on social intelligence and resilience.
Methods: A descriptive-correlational research design was employed. The study population consisted of students at Islamic Azad University, Bandar Anzali International Branch, during the 2025-2026 academic year. Using convenience sampling, 150 participants were selected. Data were collected via the Public Speaking Anxiety Scale (PSAS), the Tromsø Social Intelligence Scale (TSIS), and the Connor-Davidson Resilience Scale (CD-RISC). Statistical analysis was performed using SPSS-27, utilizing correlation and simultaneous regression analyses at a significance level of α=0.05.
Results: The findings revealed a significant negative correlation between social intelligence and speech anxiety, as well as between resilience and speech anxiety. Furthermore, the regression model indicated that social intelligence and resilience accounted for 35% of the variance in speech anxiety.
Conclusion: The results suggest that enhancing social intelligence and resilience may effectively reduce speech anxiety among students.
Keywords
Subjects

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  • Receive Date 28 June 2026
  • Accept Date 29 June 2026