Review Of Related Literature About School Bullying

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Using a nationally representative sample of 12,987 private and public school students in the United States, the current study examines school safety measures and students’ perceptions about school environments (or climate), especially school rules and punishment.

Findings reveal that the variables of security guards, fairness and awareness of school rules, gangs and guns at school, students misbehaving, and teachers’ punishment of students were statistically significant predictors of bullying victimization.

Although research has already demonstrated a number of serious consequences of cyber-victimization, many questions remain unanswered concerning the impact of cyber-bullying.

This study gathers literature from 18 studies pieces together only the factors that kick-start cyber-bullying perpetration and victimization but also the effects of bullying on the victims as well as the bullies.

A significant number of empirical studies indicate that bullying and victimization is an increasing problem on school grounds and one that has negative consequences for both bullies and their victims [3–8].

For example, the School Crime Supplement survey (2007) showed that 32 percent of students reported being bullied at school, while only 28 percent of students in 2005 reported being bullied [9]. [10] found that 75 percent of US public school principals indicated that schools reported one or more violent incidents to the police, and 25 percent of public schools reported school bullying on a daily/weekly basis.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.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”.Those who bullied others scored higher on the peer relationship problems scale (p=0.001) [1]. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.Smith et al divided cyber-bullying in seven sub-categories, namely: text message bullying, picture/ video clip bullying, phone call bullying, email bullying, chat-room bullying, bullying through instant messaging (18%) and bullying via websites among which picture/video clip and phone call were perceived to have the most impact [3].Even though chat room, instant messaging and email bullying were perceived to have the least impact on the victim another study deems it most common among all (18% and 13.8%, respectively) [4].Males were more likely to cyber-bully others than females (p=0.021) [9].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%).


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