Thesis:

The Relationship between Internet Self-Efficacy and Psychological Well-being with Cyberbullying in Computer Associate Degree Students

The main objective of this research was to predict cyberbullying based on Internet Self-Efficacy and Psychological Well-being among associate degree students in computer science. This study was fundamental in terms of purpose and descriptive?correlational in terms of execution method. The statistical population included all associate degree students in computer science at the Islamic Azad University, Sabzevar Branch, in the academic year 2025?2026, whose number was estimated at 100 based on university lists. Due to the limited population size, using the Morgan table, a sample of 80 individuals was selected through convenience sampling. To measure the research variables, three standard questionnaires were used: "Internet Self?Efficacy Scale by Hsu and Chiu (2004)", "Psychological Well?Being Scale by Ryff (1988)", and "Cyberbullying and Cybervictimization Experience Scale by Antoniadou et al. (2016)". Data analysis was performed in two sections: descriptive statistics (mean and standard deviation) and inferential statistics (Pearson correlation coefficient and multiple regression using the enter method) via SPSS version 23. The results showed that the two?variable regression model at a significance level of 0.05 predicts cyberbullying, but this prediction is only made significantly by Psychological Well-being, and Internet Self-Efficacy lacks significant predictive power. Additionally, while no significant relationship was found between Internet Self-Efficacy and cyberbullying, a positive and significant relationship was obtained between Psychological Well-being and cyberbullying.

Keywords: Internet Self-Efficacy, Psychological Well-being, Cyberbullying