Bullying behavior continues to be a salient social and health-related issue of importance to educators, criminal justice practitioners, and academicians across the country.
While discourse on school bullying is abundant, previous studies are limited in explaining the predictive effect of factors such as individual/demographic variables, school environmental variables, and school antibullying preventive measures.
Those who bullied others scored higher on the peer relationship problems scale (p=0.001) .
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Males were more likely to cyber-bully others than females (p=0.021) .
Only 43.6% of cyber-bullies thought that their bullying behavior was harsh to very harsh on the victims (Cyber victims: 66.4%), similarly, only 26% thought their actions had an impact on their victim’s life (Cyber victims: 34.6%).
A thorough search of medical literature was conducted on Pubmed, Google scholar and Scopus databases.
The key Me SH and non-Me SH terms were “Cyber-bully”, “teenagers”, “Effects”, “Perpetrators” and “Victims”.
Yet these studies found that individual demographic factors (e.g., age, gender, and race) and school characteristics (e.g., presence of gangs at school, and police/school staff members’ supervision) are significantly related to victimization.  found that victims of school bullying are more likely to be younger and white and to report the presence of gangs in their schools.
Most previous research on bullying, however, suffers from several limitations.