Cyberbullying Analysis in Intercultural Educational Environments Using Binary Logistic Regressions

José Manuel Ortiz-Marcos, María Tomé-Fernández and Christian Fernández-Leyva
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José Manuel Ortiz-Marcos: Department of Research Methods and Diagnosis in Education, Faculty of Education Sciences, University of Granada, 18071 Granada, Spain
María Tomé-Fernández: Department of Research Methods and Diagnosis in Education, Faculty of Education and Sports Sciences, University of Granada, 52071 Melilla, Spain
Christian Fernández-Leyva: Department of Research Methods and Diagnosis in Education, Faculty of Education Sciences, University of Granada, 18071 Granada, Spain

Future Internet, 2021, vol. 13, issue 1, 1-15

Abstract: The goal of this study is to analyze how religion, ethnic group, and race influence the likelihood of becoming either a cybervictim or cyberbully in intercultural educational environments. In the research, 755 students in secondary education were analyzed in the south of Spain through the Cyberbullying Scale for students with Cultural and Religious Diversity (CSCRD). The analyses were carried out using the Statistical Package SPSS and the STATA software. The results obtained from the Kruskal–Wallis H test showed significant differences according to these aspects, for both the cybervictim and cyberbully parameters. The results stemming from binary logistic regressions confirmed such differences and regarded those students who belong to the Muslim religion, the gypsy ethnic group and the Asian race as being more likely to become cybervictims. Furthermore, these analyses showed that Gypsy and Asian students were also more likely to be cyberbullies than other groups. The main conclusions state that minority groups are more likely to suffer cyberbullying in intercultural educational environments, and that students from these groups are also more likely to become cyberbullies.

Keywords: cyberbully; cybervictim; intercultural educational environments; binary logistic regressions (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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