Using cross-sectional, self-report data this study investigates the effect of cyberbullying victimization on depression with gender and age as moderating factors. The sample (n = 1400) consisted of students in a large...Using cross-sectional, self-report data this study investigates the effect of cyberbullying victimization on depression with gender and age as moderating factors. The sample (n = 1400) consisted of students in a large public university in Kuwait. First, the results show that gender was a significant predictor of depression with females being higher than males on this measure. Second, age was a significant negative predictor with older subjects less likely than younger ones to experience depression. Finally, the study examined the interaction effect of gender and age with cyber-victimization. Results indicate that there is no significant interaction effect between gender and cyber-victimization. However, a significant interaction effect exists between age and cyber-victimization. Older subjects are likely to suffer more depression when exposed to cyber-victimization than younger ones.展开更多
文摘Using cross-sectional, self-report data this study investigates the effect of cyberbullying victimization on depression with gender and age as moderating factors. The sample (n = 1400) consisted of students in a large public university in Kuwait. First, the results show that gender was a significant predictor of depression with females being higher than males on this measure. Second, age was a significant negative predictor with older subjects less likely than younger ones to experience depression. Finally, the study examined the interaction effect of gender and age with cyber-victimization. Results indicate that there is no significant interaction effect between gender and cyber-victimization. However, a significant interaction effect exists between age and cyber-victimization. Older subjects are likely to suffer more depression when exposed to cyber-victimization than younger ones.
