Family and Digital Predictors of Cyberbullying in Primary School Students
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Keywords

bullying
cyberbullying
primary education
parental mediation
digital technologies acoso escolar
ciberacoso
educación primaria
mediación parental
tecnologías digitales

How to Cite

López-Castro, L., López-Ratón, M., & García-Giner, Z. (2026). Family and Digital Predictors of Cyberbullying in Primary School Students. Aula Abierta, 55(3), 343–352. https://doi.org/10.17811/rifie.23403

Abstract

This study examines cyberbullying perpetration among students aged 10 to 12, a phenomenon that remains understudied compared to later developmental stages or cybervictimization. The main objective is to identify how family sociodemographic characteristics and patterns of digital technology use at home jointly influence students’ involvement in cyberbullying behaviors. The sample consisted of 1,169 families. A validated self-administered questionnaire was used (α = .84). Bivariate and multivariate logistic regression models were applied using the stepwise method with R software (version 4.4.0). The multivariate model results indicate that cyberbullying perpetration is significantly associated with a combination of specific family conditions (single-parent household structure and low educational attainment of the parent or legal guardian) and particular technological practices of the child (daily internet access, use of multiple devices, connection from the bedroom, and social-oriented usage). These findings underscore the importance of implementing preventative strategies that strengthen active parental mediation from the earliest educational stages and the need to commit to analytical models that capture the contextual complexity of the phenomenon.

https://doi.org/10.17811/rifie.23403
PDF (Español (España))

References

Azqueta, A., Arbués, E., y Merino-Arribas, A. (2023). Análisis del discurso de las estrategias para la mejora de la convivencia escolar de las Comunidades Autónomas españolas. Aula Abierta, 52(3), 289–296. https://doi.org/10.17811/rifie.52.3.2023.289-296

Barlett, C. P. (2023). Predicting Cyberbullying Perpetration in US Elementary School Children. International Journal of Environmental Research and Public Health, 20(15), art. 6442. https://doi.org/10.3390/ijerph20156442

Bevilacqua, L., Shackleton, N., Hale, D., Allen, E., Bond, L., Christie, D., Elbourne, D., Fitzgerald-Yau, N., Fletcher, A., Jones, R., Miners, A., Scott, S., Wiggins, M., Bonell, C., y Viner, R. (2017). The role of family and school-level factors in bullying and cyberbullying: A cross-sectional study. BMC Pediatrics, 17, art. 160. https://doi.org/10.1186/s12887-017-0907-8

Chen, L., Ho, S. S., y Lwin, M. O. (2016). A meta-analysis of factors predicting cyberbullying perpetration and victimization: From the social cognitive and media effects approach. New Media & Society, 19(8), 1194–1213. https://doi.org/10.1177/1461444816634037

Cox, D. R. (1970). Analysis of binary data. Chapman and Hall.

Domínguez Rodríguez, V., Deaño, M., y Tellado González, F. (2020). Incidencia de los distintos tipos de violencia escolar en Educación Primaria y Secundaria. Aula Abierta, 49(4), 373–384. https://doi.org/10.17811/rifie.49.4.2020.373-384

Elsaesser, C., Russell, B., Ohannessian, C. M., y Patton, D. (2017). Parenting in a digital age: A review of parents’ role in preventing adolescent cyberbullying. Aggression and Violent Behavior, 35, 62–72. https://doi.org/10.1016/j.avb.2017.06.004

Estévez, A. (2021). Ciberacoso y ajuste psicológico en la infancia: Una revisión sistemática. Revista Española de Pedagogía, 79(280), 87–106. https://doi.org/10.22550/REP79-1-2021-05

Evangelio, C., Rodríguez‐González, P., Fernández‐Río, J., y González‐Víllora, S. (2022). Cyberbullying in elementary and middle school students: A systematic review. Computers & Education, 176, art. 104356. https://doi.org/10.1016/j.compedu.2021.104356

Hinduja, S., y Patchin, J. W. (2015). Bullying beyond the schoolyard: Preventing and responding to cyberbullying (2.ª ed.). Corwin Press.

Hosmer, D., Lemeshow, S., y Sturdivant, R. X. (2000). Applied logistic regression (2.ª ed.). John Wiley & Sons.

Kowalski, R. M., Giumetti, G. W., Schroeder, A. N., y Lattanner, M. R. (2014).

Bullying in the digital age: A critical review and meta-analysis of cyberbullying research among youth. Psychological Bulletin, 140(4), 1073–1137. https://doi.org/10.1037/a0035618

Kuldas, S., Sargioti, A., Staksrud, E., Heaney, D., y O’Higgins Norman, J. (2023). Are confident parents really aware of children’s online risks? A conceptual model and validation of parental self-efficacy, mediation, and awareness scales. International Journal of Bullying Prevention, 6(3), 252-266. https://doi.org/10.1007/s42380-023-00157-x

Li, B., y Babu, G. J. (2019). A graduate course on statistical inference. Springer.

Livingstone, S., Mascheroni, G., Dreier, M., Chaudron, S., y Lagae, K. (2015). How parents of young children manage digital devices at home: The role of income, education and parental style. EU Kids Online, London School of Economics.

Machimbarrena J. M., y Garaigordobil M. (2018). Prevalence of Bullying and Cyberbullying in the Last Stage of Primary Education in the Basque Country. The Spanish Journal of Psychology, 21, e48, 1-10. https://doi.org/10.1017/sjp.2018.41

Marín-Cortés, R., Hoyos de los Ríos, L., y Sierra Pérez, M. (2019). Factores de riesgo y protección asociados al ciberacoso en adolescentes: Revisión sistemática. Papeles del Psicólogo, 40(3), 183–192. https://doi.org/10.23923/pap.psicol2019.2899

McCullagh, P., y Nelder, J. A. (1983). Generalized linear models (1ª ed.). Chapman and Hall.

Nagata, J. M., Trompeter, N., Singh, G., Ganson, K. T., Testa, A., Jackson, D. B., Assari, S., Murray, S. B., Bibbins-Domingo, K., y Baker, F. C. (2022). Social epidemiology of early adolescent cyberbullying in the United States. Academic Pediatrics, 22(8), 1287–1293. https://doi.org/10.1016/j.acap.2022.07.003

Patel, M.G., y Quan‑Haase, A. (2024). The social‑ecological model of cyberbullying: Digital media as a predominant ecology in the everyday lives of youth. New Media & Society, 26(9), 5507–5528. https://doi.org/10.1177/14614448221136508

R Core Team. (2024). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://CRAN.R-project.org/

Rice, E., Petering, R., Rhoades, H., Winetrobe, H., Goldbach, J., Plant, A., Montoya, J., y Kordic, T. (2015). Cyberbullying perpetration and victimization among middle school students. American Journal of Public Health, 105(3), e66–e72. https://doi.org/10.2105/AJPH.2014.302393

Ripley, B. (2020). MASS: Support functions and datasets for Venables and Ripley’s MASS. https://CRAN.R-project.org/package=MASS

Slonje, R., Smith, P. K., y Frisén, A. (2013). The nature of cyberbullying, and strategies for prevention. Computers in Human Behavior, 29(1), 26–32. https://doi.org/10.1016/j.chb.2012.05.024

Smith, P. K. (2019). Research on cyberbullying: Strengths and limitations. En H. Vandebosch, y L. Green (Eds.), Narratives in research and interventions on cyberbullying among young people (pp. 9–27). Springer. https://doi.org/10.1007/978-3-030-04960-7_2

Smith, P. K., Mahdavi, J., Carvalho, M., Fisher, S., Russell, S., y Tippett, N. (2008). Cyberbullying: Its nature and impact in secondary school pupils. Journal of Child Psychology and Psychiatry, 49(4), 376–385. https://doi.org/10.1111/j.1469-7610.2007.01846.x

Tintori, A., Ciancimino, G., Bombelli, I., De Rocchi, D., y Cerbara, L. (2023). Children’s Online Safety: Predictive Factors of Cyberbullying and Online Grooming Involvement. Societies, 13(2), 1-18. https://doi.org/10.3390/soc13020047

Torrego Seijo, J. C., Gomariz Vicente, M. Á., Caballero García, P. Á., y Monge López, C. (2022). Cuestionario de convivencia escolar desde un modelo integrado para profesores. Aula Abierta, 51(1), 93–104. https://doi.org/10.17811/rifie.51.1.2022.93-104

Zhu, C., Huang, S., Evans, R., y Zhang, W. (2021).

Cyberbullying among adolescents and children: A comprehensive review of the global situation, risk factors, and preventive measures. Frontiers in Public Health, 9, art. 634909. https://doi.org/10.3389/fpubh.2021.634909

Zych, I., Ortega-Ruiz, R., y Del Rey, R. (2019). Systematic review of theoretical studies on bullying and cyberbullying: Facts, knowledge, prevention, and intervention. Aggression and Violent Behavior, 45, 4–16. https://doi.org/10.1016/j.avb.2015.10.001

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