Family sociodemographic factors and cybervictimization in Primary Education
DOI:
https://doi.org/10.5944/educxx1.35827Keywords:
bullying, cyberbullying, school violence, family, multivariate logistic, regression analysisAbstract
Cybervictimization is a social phenomenon in which a victim receives an intentional and aggressive act of harm from an aggressor/s, through technologies, from which victims cannot easily defend themselves. Victims present physical health symptoms, as well as low levels of psychological well-being and even higher levels of suicidal ideation and attempts. The alarming prevalence of cybervictimization in Primary Education in Spain ranges from 6.6% to 13.4% and has increased due to the COVID-19 confinement. For all these reasons, it is crucial to investigate the risk and protection factors that allow us to prevent them, especially those less studied in this educational stage, such as family sociodemographic variables. The objective of the study is to analyse the relationship between parental sociodemographic factors (age, gender, educational level, immigrant background, family composition, and degree of rurality of the municipality of family residence) and cybervictimization of their children in Primary Education. A sample of 1169 families with children in grades of 5th and 6th of Primary Education was selected, using a self-administered questionnaire (α = .84). Association studies were performed using binary logistic regression. The multivariate model followed a stepwise procedure, with the stepAIC function, selecting the best predictive model. The bivariate analysis identified the parental educational level as an individual risk factor for cybervictimization (p < .05). In addition, single-parent families reached almost double the risk of two-parent families. The results of the multivariate analysis showed that gender, parental educational level, and family composition are jointly significant predictors of cybervictimization in Primary Education. It is concluded that there are family sociodemographic factors that predict cybervictimization and the results are analyzed for their implications for educational practice.
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Abdulsalam, A. J., Al Daihani, A. E., & Francis, K. (2017). Prevalence and associated factors of peer victimization (bullying) among grades 7 and 8 middle school students in Kuwait. International Journal of Pediatrics, 1-9. https://doi.org/10.1155/2017/2862360
Adigwe, I. (2021). Identifying the moderating and mediating variables in parental mediation practices in Nigerian families in the Digital Age. Social Media+Society, 7(3), 1-12. https://doi.org/10.1177/20563051211033817
Alzamil, A. (2021). A proposed counseling program to confronting cyberbullying among high school students. Journal of Educational and Social Research, 11(1), 136-151. https://doi.org/10.36941/jesr-2021-0014
Anccana, L. P., Copaja, F. H., & Mandarachi, R. P. (2022). Ciberbullyng en tiempos de pandemia. Ciencia Latina Revista Científica Multidisciplinar, 6(4) 1274-1286. https://doi.org/10.37811/cl_rcm.v6i4.2660
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., & Viner, R. (2017). The role of family and school-level factors in bullying and cyberbullying: A cross-sectional study. BMC Pediatrics, 17(160), 160-170. http://doi.org/10.1186/s12887-017-0907-8
Calmaestra, J., Rodríguez-Hidalgo, A. J., Mero-Delgado, O., & Solera, E. (2020). Cyberbullying in adolescents from Ecuador and Spain: Prevalence and differences in gender, school year and ethnic-cultural background. Sustainability, 12(11), 4597-4611. https://doi.org/10.3390/su12114597
Chen, Q., Lo, C. K., Zhu, Y., Cheung, A., Chan, K. L., & Ip, P. (2018). Family poly-victimization and cyberbullying among adolescents in a Chinese school sample. Child Abuse & Neglect, 77, 180-187. https://doi.org/10.1016/j.chiabu.2018.01.015
Cox, D. R. (1970). Analysis of Binary Data. Chapman and Hall.
Doumas, D. M., & Midgett, A. (2021). The association between witnessing cyberbullying and depressive symptoms and social anxiety among elementary school students. Psychology in the Schools, 58(3), 622-637. https://doi.org/10.1002/pits.22467
Dedkova, L., & Smahel, D. (2019). Online parental mediation: Associations of family members´ characteristics to individual engagement in active mediation and monitoring. Journal of Family Issues, 41(8), 1-25. https://doi.org/10.1177/0192513X19888255
Extremera, N., Quintana-Orts, C., Mérida-López, S., & Rey, L. (2018). Cyberbullying victimization, self-esteem and suicidal ideation in adolescence: Does emotional intelligence play a buffering role? Frontiers in Psychology, 22(9), 1-9. https://doi.org/10.3389/fpsyg.2018.00367
Estévez, M. (2021). Acoso escolar y ciberacoso en educación primaria: prevalencia e intervención psicoeducativa [Tesis Doctoral, Universidad de Sevilla]. https://bit.ly/3VeXwgF
Gairín, J., Armengol, A., & Silva, B. (2013). El «bullying» escolar. Consideraciones organizativas y estrategias para la intervención. Educación XX1, 16(1), 19-38. https://doi.org/10.5944/educxx1.16.1.715
Garaigordobil, M. (2017). Psychometric properties of the Cyberbullying Test, a screening instrument to measure cybervictimization, cyberaggression, and cyberobservation. Journal of Interpersonal Violence, 32(23), 3556-3576. https://doi.org/10.1177/0886260515600165
Gardella, J. H., Fisher, B. W., & Teurbe-Tolon, A. R. (2017). A systematic review and meta-analysis of cyber-victimization and educational outcomes for adolescents. Review of Educational Research, 87(2), 283-308. https://doi.org/10.3102/0034654316689136
Garmy, P., Hansson, E., Vilhjalmsson, R., & Kristjansdottir, G. (2019). Bullying and pain in school-aged children and adolescents: A cross-sectional study. SAGE Open Nursing, 5(6), 5-10. https://doi.org/10.1177/2377960819887556
Gómez-León, M. (2021). Disminución de la ansiedad en las victimas del bullying durante el confinamiento por COVID-19. Revista de Educación a Distancia, 65(21), 1-20. https://doi.org/10.6018/red.439601
González, V., Prendes, P., & López-Pina, J.A. (2016). Víctimas de ciberacoso: estudio descriptivo en la Región de Murcia. En R. Roig-Vila (Ed.), Tecnología, innovación e investigación en los procesos de enseñanza-aprendizaje (pp. 1661-1669). Octaedro.
Görzig, A., & Machackova, H. (2015). Cyberbullying from a socio-ecological perspective: A contemporary synthesis of findings from EU Kids Online. Media@LSE Working Paper 36. Media@LSE, London School of Economics and Political Science. https://bit.ly/3W9q3pv
Halpern, D., Piña, M., & Ortega-Gunckel, C. (2021). Mediación parental y escolar: uso de tecnologías para potenciar el rendimiento escolar. Educación XX1, 24(2), 257-282. https://doi.org/10.5944/educxx1.28716
Hosmer, D., Lemeshow, S., & Sturdivant, R.X. (2000). Applied logistic regression. John Wiley & Sons.
Iranzo, B., Buelga, S., Cava, M. J., & Ortega-Barón, J. (2019). Cyberbullying, psychosocial adjustment, and suicidal ideation in adolescence. Psychosocial Intervention, 28(2), 75-81. https://doi.org/10.5093/pi2019a5
Kowalski, R. M., & Limber, S. P. (2013). Psychological, physical, and academic correlates of cyberbullying and traditional bullying. Journal of Adolescent Health, 53(1 Suppl.), 13-20. https://doi.org/10.1016/j.jadohealth.2012.09.018
Kowalski, R. M., Giumetti, G. W., & Limber, S. P. (2017). Bullying and cyberbullying among rural youth. En K. D. Michael, & J. P. Jameson (Eds.), Handbook of rural school mental health (pp. 231-245). Springer. https://doi.org/10.1007/978-3-319-64735-7_15
Li, B., & Babu, G.J. (2019). A graduate course on statistical inference. Springer.
Livingstone, S., Mascheroni, G., Dreier, M., Chaudron, S., & Lagae, K. (2015). How parents of young children manage digital devices at home: The role of income, education and parental style. EU Kids Online, LSE. https://bit.ly/3VdxR8a
Livingstone, S., Ólafsson, K., Helsper, E. J., Lupiáñez-Villanueva, F., Veltri, G. A., & Folkvord, F. (2017). Maximizing opportunities and minimizing risks for children online: The role of digital skills in emerging strategies of parental mediation. Journal of Communication, 67(1), 82–105. https://doi.org/10.1111/jcom.12277
López-Castro, L., & Priegue, D. (2019). Influence of family variables on cyberbullying perpetration and victimization: A systematic literature review. Social Science, 8(3), 98-123. https://doi.org/10.3390/socsci8030098
López-Pradas, I. C., Romera, E. M., Casas, J. A., & Ortega-Ruiz, R. (2017). Cybergossip and cyberbullying during primary school years. Psicología Educativa, 23(2), 73-80. https://doi.org/10.1016/j.pse.2017.05.007
Machimbarrena, J. M., & 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
Machimbarrena, J. M., González-Cabrera, J., & Garaigordobil, M. (2019). Variables familiares relacionadas con el bullying y el cyberbullying: Una revisión sistemática. Pensamiento Psicológico, 17(2), 37-56. https://doi.org/10.11144/Javerianacali.PPSI17-2.vfrb
Martin-Criado, J.M., Casas, J. A., Ortega-Ruiz, R., & Del Rey, R. (2021). Parental supervision and victims of cyberbullying: Influence of the use of social networks and online extimacy. Revista de Psicodidáctica, 26(2), 160-167. https://doi.org/10.1016/j.psicoe.2021.04.002
McCullagh, P., & Nelder, J.A. (1983). Generalized linear models. Chapman and Hall.
Nikken, P., & Schols, M. (2015). How and why parents guide the media use of young children. Journal of Child and Family Studies, 24, 3423–3435. https://doi.org/10.1007/s10826-015-0144-4
Observatorio Nacional de Tecnología y Sociedad. (2022). Beneficios y riesgos de uso de Internet y las redes sociales Gobierno de España. Ministerio de Asuntos Económicos y Transformación Digital. https://bit.ly/3BNbrnl
R Core Team. (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://bit.ly/3AFcE0a
Ripley, B. (2020). MASS: Support functions and datasets for Venables and Ripley’s Mass. https://bit.ly/3MO8atZ
Rodríguez-Álvarez, J. M., Navarro, R., & Yubero, S. (2022). Bullying/cyberbullying en quinto y sexto curso de educación primaria: diferencias entre contextos rurales y urbanos. Psicología Educativa, 28(2), 117-126. https://doi.org/10.5093/psed2021a18
Rodríguez-Hidalgo, A., Pantaleón, Y., & Calmaestra, J. (2019). Psychological predictors of bullying in adolescents from pluricultural schools: A transnational study in Spain and Ecuador. Frontiers in Psychology, 10, 1-11. https://doi.org/10.3389/fpsyg.2019.01383
Sidera, F., Serrat, E., Collell, J., Perpiñà, G., Agell, S., Ortiz, R., Amadó, A., & Rostan, C. (2021). Informe sobre el acoso y el ciberacoso en la educación primaria en Cataluña. Fundación Barça. https://bit.ly/3v2tJgE
Sittichai, R., & Smith, P. K. (2020). Information technology use and cyberbullying behavior in South Thailand: A test of the Goldilocks Hypothesis. International Journal of Environmental Research and Public Health, 17(19), 7122-7137. https://doi.org/10.3390/ijerph17197122
Smith, P.K. (2019). Research on Cyberbullying: strengths and Limitations. En H. Vandebosch, & L. Green (Eds.), Narratives in research and interventions on cyberbullying among young people (pp. 9-27). Springer Cham. https://doi.org/10.1007/978-3-030-04960-7_2
Smith, P. K., Mahdavi, J., Carvalho, M., Fisher, S., Russell, S., & 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
Strohmeier, D., Kärnä, A., & Salmivalli, C. (2011). Intrapersonal and interpersonal risk factors for peer victimization in immigrant youth in Finland. Developmental Psychology, 47(1), 248-258. https://doi.org/10.1037/a0020785
Uludasdemir, D., & Kucuk, S. (2019). Cyber bullying experiences of adolescents and parental awareness: Turkish example. Journal of Pediatric Nursing, 44, 84-90. http://doi.org/10.1016/j.pedn.2018.11.006
Wright, M. F. (2017). Parental mediation, cyberbullying, and cybertrolling: The role of gender. Computers in Human Behavior, 71, 189–195. https://doi.org/10.1016/j.chb.2017.01.059
Zhang, D., Huebner, E. S., & Tian, L. (2020). Longitudinal associations among neuroticism, depression, and cyberbullying in early adolescents. Computers in Human Behavior, 112, 1-45. https://doi.org/10.1016/j.chb.2020.106475

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