Cluster analysis in victims of perceived cyberbullying at the Higher Education Level

Abstract

A number of studies have demonstrated the prevalence of cyberbullying in university settings. The objective of this research is to conduct a cluster analysis to categorize victims according to the nature of the behavior they have received and to examine the relationship between gender and intention to drop out. To this end, the Online Victimization Questionnaire was administered to a sample of 800 first-year students at a university in northern Spain who had opted to participate in the study. All analyses were conducted using the SPSS statistical software, version 27.0. Results indicate the presence of four clusters: Cluster 4 (73.625%) exhibited no instances of cyberbullying behaviors. Cluster 1 (21.875%), which exhibited low scores across all cyberbullying behaviors except identity manipulation, was the most prevalent. Cluster 2 (3.125%) demonstrated high scores for public aggression and social isolation. Finally, Cluster 3 (1.375%) exhibited high scores for all cyberbullying behaviors. Furthermore, gender differences play a significant role in the formation of these clusters. It is therefore evident that there are various profiles of cyberbullying victims, which both public policies and educational programs should be aware of in order to adapt their prevention strategies. This is also a factor that affects university dropout prevention programs.