Analyzing The Risk Factors Predicting The Cyberbullying Status of Secondary School Students

Adem Peker

Abstract

In this study, it was aimed to anaylze the risk factors that predicts the cyberbullying status of secondary school students. Relational model was used in the study. The study was conducted on 400 secondary school student getting educated in different schools in Erzurum. Information form, Revised Cyberbullying Inventory, Positive and Negative Affection Scale, Social Media Attitude Questionnaire was used as data collection tools. The data analysis was done with multinominal logistik regression. In the study, it was determied that 17 % of the students experience cyberbullying, 10.5 % of the students bully others, and 35.2 % of them are bully/victim. As a result of the study, being unable to socialize is a risk factor to be a cyberbully, victim and victim/bully. It was seen that gender and internet usage time are factors to be cyberbully and cyberbully/victim, parental uncontrolling in child's internet use is a risk factor to be cyberbully, social attitude and negative affect are risk factors to be cyberbully/victim.

Keywords

Cyberbullying Status, Distinctive Factors, Multinominal Logistic, Regression Analysis


DOI: http://dx.doi.org/10.15390/EB.2015.4412

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