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Cyberbullying: Common Predictors to Cyber-Victimisation and Bystanding

Author

Listed:
  • Daniel Lloret-Irles

    (Department of Health Psychology, Miguel Hernández University, 03202 Elche, Spain)

  • Víctor Cabrera-Perona

    (Department of Health Psychology, Miguel Hernández University, 03202 Elche, Spain)

  • Sonia Tirado-González

    (Department of Health Psychology, Miguel Hernández University, 03202 Elche, Spain)

  • José V. Segura-Heras

    (I.U. Operations Research Center, Miguel Hernández University, 03202 Elche, Spain)

Abstract

Cyberbullying has increased worryingly in the last decade, becoming a mental health problem in adolescence. Research usually focuses on cyber-bullies or cyber-victims, overlooking that these roles may overlap (e.g., cyber-victim-bystander). Aim: To identify possible common predictors to cyber-victimisation and bystanding. Sample: The study sample consisted in 560 students, 12–15 years old, 47.5% female. Method: Canonical correlation, examining linear relationship between a group of X variables, and a group of Y variables. Main results and conclusions: Two canonical varieties were built (Cor (U 1 ,V 1 ) = 0.442; Cor (U 2 ,V 2 ) = 0.270). Minors with high scores in cyber-victimisation (r = −0.888) and bystanding (r = −0.902) would have more favourable attitude towards violence, greater number of contacts on social networks/messaging and greater attention to emotions. The second variety discriminates minors with high cyber-victimisation score, but low observation and would relate to low attitudes towards violence and contacts on social networks/messaging, together with high scores in parental monitoring. Results suggest the possible overlapping of roles and how cyber-victimisation and bystanding share predictive factors.

Suggested Citation

  • Daniel Lloret-Irles & Víctor Cabrera-Perona & Sonia Tirado-González & José V. Segura-Heras, 2022. "Cyberbullying: Common Predictors to Cyber-Victimisation and Bystanding," IJERPH, MDPI, vol. 19(23), pages 1-13, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:15750-:d:985048
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