Rooyesh-e- Ravanshenasi Journal(RRJ)

The aim of this study was to predicting the experience of Cyberbullying by Students based on Self-efficacy and Dark Tetrad. The present research method was descriptive-correlation. A sample of 400 students was selected from among high school students in Khorramabad in the academic year 2024-25 using a multi-stage random sampling method. The European Cyberbullying Intervention Project (ECIPQ, Del Rey et al., 2015), the General Self-Efficacy Scale (GSE, Schwarzer & Jerusalem, 1995), the Dirty Dozen (DD, Jonason & Webster, 2010) and the Short Sadistic Impulse Scale (SSIS, O’Meara et al., 2015) were used to collect data. Logistic regression method was used to analyze the data. Findings of this study showed self-efficacy (WALD=10.76, p=0.001) was predictor of cyber-victim in students. Psychopathy (WALD=6.96, p=0.008) and sadism (WALD=13.55, p=0.001) were predictors of cyber-bully in students. psychopathy was also predictor of cyber bully-victim in students (WALD=7.03, p=0.008). The Dark Tetrad were not predictive of cyber-victim in students (p>0.05). Considering the destructive psychological and legal consequences of cyberbullying, policies and programs should be consistent with the related personality risk and protective factors.