Quantitative Analysis of Factors Influencing Cyberbullying among Tertiary Students Using Multiple Linear Regression

Abstract

Cyberbullying is a serious issue that affects not only young victims but also perpetrators, victims’ families, and witnesses. This study aims to examine the factors influencing the perception of cyberbullying among UiTM Kota Bharu students. A total of 309 students were selected as the sample using a proportionate stratified sampling technique, and the questionnaires were distributed via Google Forms. Factors considered include internet addiction, self-esteem, and parent-child interaction. The study’s objectives are to identify the factors that influence perceptions of cyberbullying among university students. The findings from multiple linear regression analysis indicate that internet addiction, self-esteem, and parent-child interaction significantly influence (p-value = 0.000) perceptions of cyberbullying among university students. Furthermore, the correlation coefficient between internet addiction and the perception of cyberbullying is 0.746, suggesting a strong positive linear relationship. In contrast, there is a weak positive linear relationship between self-esteem and the perception of cyberbullying (r = 0.455). Additionally, a moderate positive linear relationship exists between parent-child interaction and perception of cyberbullying (r = 0.643). Understanding how internet addiction, self-esteem, and parent-child interaction contribute to perceptions of cyberbullying can help universities and policymakers develop better strategies to address this issue.