International Association of Educators   |  ISSN: 1949-4270   |  e-ISSN: 1949-4289

Original article | Educational Policy Analysis and Strategic Research 2023, Vol. 18(3) 78-91

A Meta-Analytic Review of Big Five-personality Trait and Cyberbullying

Nezir Ekinci

pp. 78 - 91   |  DOI: https://doi.org/10.29329/epasr.2023.600.4   |  Manu. Number: MANU-2303-29-0004

Published online: September 30, 2023  |   Number of Views: 72  |  Number of Download: 348


Abstract

With the development of science and technology, the internet and communication technology are constantly expanding and affecting people's lives in many areas. The development of internet and communication technology benefits individuals and society in many ways. The ease of use and access to these technologies causes some problems. The most fundamental of these problems is cyberbullying. Cyberbullying is becoming a major global problem affecting many people. Recent research examines the relationship between cyberbullying and the big five personality traits. Research findings indicate different results between personality traits and cyberbullying. In this context, the current research examines the relationship between the big five personality traits and cyberbullying. For this purpose, 12 studies were examined by meta-analysis method in the current study. As a result of the research, the effect sizes between the big five personality traits and cyberbullying were determined. As a result of the findings, it was seen that the personality traits with the strongest effect size with cyberbullying were agreeableness and conscientiousness personality traits. Neuroticism personality trait was found to be positively related to cyberbullying, while openness to experience, extraversion, agreeableness and conscientiousness personality traits were found to be negatively related.  The results obtained from the research were analyzed and discussed within the scope of the literature.

Keywords: Cyberbullying, big five personality traits, meta-analysis


How to Cite this Article?

APA 6th edition
Ekinci, N. (2023). A Meta-Analytic Review of Big Five-personality Trait and Cyberbullying . Educational Policy Analysis and Strategic Research, 18(3), 78-91. doi: 10.29329/epasr.2023.600.4

Harvard
Ekinci, N. (2023). A Meta-Analytic Review of Big Five-personality Trait and Cyberbullying . Educational Policy Analysis and Strategic Research, 18(3), pp. 78-91.

Chicago 16th edition
Ekinci, Nezir (2023). "A Meta-Analytic Review of Big Five-personality Trait and Cyberbullying ". Educational Policy Analysis and Strategic Research 18 (3):78-91. doi:10.29329/epasr.2023.600.4.

References
  1. Alonso, C., & Romero, E. (2017). Aggressors and victims in bullying and cyberbullying: A study of personality profiles using the five-factor model. The Spanish Journal of Psychology, 20, E76.  https://doi.org/10.1017/sjp.2017.73 [Google Scholar] [Crossref] 
  2. Balakrishnan, V., Khan, S., Fernandez, T., & Arabnia, H. R. (2019). Cyberbullying detection on twitter using Big Five and Dark Triad features. Personality and individual differences, 141, 252-257. https://doi.org/10.1016/j.paid.2019.01.024 [Google Scholar] [Crossref] 
  3. Bourassa, C. A. (2012). Student cyberbullying: raising awareness for school counselors. Psychiatry, 45, 1308-1316. [Google Scholar]
  4. Chan, T. K., Cheung, C. M., & Lee, Z. W. (2021). Cyberbullying on social networking sites: A literature review and future research directions. Information & Management, 58(2), 103411. https://doi.org/10.1016/j.im.2020.103411 [Google Scholar] [Crossref] 
  5. Cohen, L., Manion, L., & Morrison, K. (2007). Research methods in education. London: Routledge-Falmer.Cumming. [Google Scholar]
  6. Costa Jr, P. T., & McCrae, R. R. (1992). Four ways five factors are basic. Personality and individual differences, 13(6), 653-665. https://doi.org/10.1016/0191-8869(92)90236-I [Google Scholar] [Crossref] 
  7. Costa Jr, P. T., & McCrae, R. R. (1995). Domains and facets: Hierarchical personality assessment using the Revised NEO Personality Inventory. Journal of personality assessment, 64(1), 21-50. https://doi.org/10.1207/s15327752jpa6401_2 [Google Scholar] [Crossref] 
  8. Cumming, G. (2013). Understanding the new statistics: Effect sizes, confidence intervals, and meta-analysis. Routledge. [Google Scholar]
  9. Çelik, S., Atak, H., & Erguzen, A. (2012). The effect of personality on cyberbullying among university students in Türkiye. Egitim Arastirmalari Eurasian Journal of Educational Research, 49, 129-150. [Google Scholar]
  10. Eroğlu, Y. (2014). Ergenlerde siber zorbalık ve mağduriyeti yordayan risk etmenlerini belirlemeye yönelik bütüncül bir model önerisi (Doctoral dissertation, Bursa Uludag University (Türkiye)). [Google Scholar]
  11. Espinosa, M. P. P. (2018). Bullying and cyberbullying: two forms of violence in schools. Journal of new approaches in educational research, 7(1), 1-2. https://doi.org/10.7821/naer.2018.1.274 [Google Scholar] [Crossref] 
  12. Fegenbush, B. S., & Olivier, D. F. (2009, March). Cyberbullying: A literature review. In Annual Meeting of the Louisiana Education Research Association, Lafayette (pp. 1-70). [Google Scholar]
  13. Festl, R., & Quandt, T. (2013). Social relations and cyberbullying: The influence of individual and structural attributes on victimization and perpetration via the internet. Human communication research, 39(1), 101-126. https://doi.org/10.1111/j.1468-2958.2012.01442.x [Google Scholar] [Crossref] 
  14. 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 [Google Scholar] [Crossref] 
  15. Gurevitch, J., Koricheva, J., Nakagawa, S., & Stewart, G. (2018). Meta-analaysis and the science of research synthesis. Nature, 555(7695), 175–182 [Google Scholar]
  16. Herpin, R. (2013). Not just for kids: The impact of bullying on academic and job performance. East Carolina University. [Google Scholar]
  17. Higgins, J. P., & Thompson, S. G. (2002). Quantifying heterogeneity in a meta‐analysis. Statistics in medicine, 21(11), 1539-1558. https://doi.org/10.1002/sim.1186 [Google Scholar] [Crossref] 
  18. Hinduja, S., & Patchin, J. W. (2014). Bullying beyond the schoolyard: Preventing and responding to cyberbullying. Corwin press. [Google Scholar]
  19. Horzum, M. B., Ayas, T., & Padır, M. A. (2017). Adaptation of big five personality traits scale to Turkish culture. Sakarya University Journal of Education, 7(2), 398-408. https://doi.org/10.19126/suje.298430 [Google Scholar] [Crossref] 
  20. Hossain, M. A., Quaddus, M., Warren, M., Akter, S., & Pappas, I. (2022). Are you a cyberbully on social media? Exploring the personality traits using a fuzzy-set configurational approach. International Journal of Information Management, 66, 102537. https://doi.org/10.1016/j.ijinfomgt.2022.102537 [Google Scholar] [Crossref] 
  21. Koban, K., Stein, J. P., Eckhardt, V., & Ohler, P. (2018). Quid pro quo in Web 2.0. Connecting personality traits and Facebook usage intensity to uncivil commenting intentions in public online discussions. Computers in Human Behavior, 79, 9-18. https://doi.org/10.1016/j.chb.2017.10.015 [Google Scholar] [Crossref] 
  22. Kokkinos, C. M., Antoniadou, N., & Markos, A. (2014). Cyber-bullying: An investigation of the psychological profile of university student participants. Journal of Applied Developmental Psychology, 35(3), 204-214. https://doi.org/10.1016/j.appdev.2014.04.001 [Google Scholar] [Crossref] 
  23. Kuadli, J., 2021. 25 Shocking Cyberbullying Statistics You Should Know. Legal Jobs. Retrieved 5 March 2023 from https://legaljobs.io/blog/cyberbullying-statistics/ [Google Scholar]
  24. Lipsey, M. W., & Wilson, D. B. (2001). Practical meta-analysis. Sage publications, Inc. [Google Scholar]
  25. Martínez-Monteagudo, M. C., Delgado, B., Díaz-Herrero, Á., & García-Fernández, J. M. (2020). Relationship between suicidal thinking, anxiety, depression and stress in university students who are victims of cyberbullying. Psychiatry Research, 286, 112856. https://doi.org/10.1016/j.psychres.2020.112856 [Google Scholar] [Crossref] 
  26. McCrae, R. R., & Costa Jr, P. T. (1997). Personality trait structure as a human universal. American psychologist, 52(5), 509. https://doi.org/10.1037/0003-066X.52.5.509 [Google Scholar] [Crossref] 
  27. McCrae, R. R., & John, O. P. (1992). An introduction to the five‐factor model and its applications. Journal of personality, 60(2), 175-215. https://doi.org/10.1111/j.1467-6494.1992.tb00970.x [Google Scholar] [Crossref] 
  28. Moor, L., & Anderson, J. R. (2019). A systematic literature review of the relationship between dark personality traits and antisocial online behaviours. Personality and individual differences, 144, 40-55. https://doi.org/10.1016/j.paid.2019.02.027 [Google Scholar] [Crossref] 
  29. Pascual-Sánchez, A., Hickey, N., Mateu, A., Martinez-Herves, M., Kramer, T., & Nicholls, D. (2021). Personality traits and self-esteem in traditional bullying and cyberbullying. Personality and individual differences, 177, 110809. https://doi.org/10.1016/j.paid.2021.110809 [Google Scholar] [Crossref] 
  30. Peng, P., Su, S., Fairley, C. K., Chu, M., Jiang, S., Zhuang, X., & Zhang, L. (2018). A global estimate of the acceptability of pre-exposure prophylaxis for HIV among men who have sex with men: a systematic review and meta-analysis. AIDS and Behavior, 22, 1063-1074. [Google Scholar]
  31. Petitti, D. B. (2000). Meta-analysis, decision analysis, and cost-effectiveness analysis: methods for quantitative synthesis in medicine (No. 31). OUP USA. [Google Scholar]
  32. Saleem, S., Khan, N. F., Zafar, S., & Raza, N. (2022). Systematic literature reviews in cyberbullying/cyber harassment: A tertiary study. Technology in Society, 70, 102055. https://doi.org/10.1016/j.techsoc.2022.102055 [Google Scholar] [Crossref] 
  33. Sánchez-Medina, A. J., Galván-Sánchez, I., & Fernández-Monroy, M. (2020). Applying artificial intelligence to explore sexual cyberbullying behaviour. Heliyon, 6(1), e03218. [Google Scholar]
  34. Semerci, A. (2017). Investigating the effects of personality traits on cyberbullying. Pegem Eğitim ve Öğretim Dergisi, 7(2), 211-230. [Google Scholar]
  35. Smith, P. K. (2015). The nature of cyberbullying and what we can do about it. Journal of Research in Special Educational Needs, 15(3), 176-184. https://doi.org/10.1111/1471-3802.12114 [Google Scholar] [Crossref] 
  36. Smith, P. K. (2019). Research on cyberbullying: strengths and limitations. Narratives in research and interventions on cyberbullying among young people, 9-27. [Google Scholar]
  37. Ucanok, Z., Karasoy, D., & Durmus, E. (2011). Yeni Bir Akran Zorbalığı Türü Olarak Sanal Zorbalık: Ergenlerde Yaygınlığı ve Önemi [Syberbullying as a new form of peer bullying: Intensity among adolescence and its importance]. 108K424 numbered TUBITAK Project, Ankara. [Google Scholar]
  38. van Geel, M., Goemans, A., Toprak, F., & Vedder, P. (2017). Which personality traits are related to traditional bullying and cyberbullying? A study with the Big Five, Dark Triad and sadism. Personality and individual differences, 106, 231-235. https://doi.org/10.1016/j.paid.2016.10.063 [Google Scholar] [Crossref] 
  39. Wolke, D. (2017). Cyberbullying: how big a deal is it?. The Lancet Child & Adolescent Health, 1(1), 2-3. https://doi.org/10.1016/s2352-4642(17)30020-2 [Google Scholar] [Crossref] 
  40. Xu, W., & Zheng, S. (2022). Personality Traits and Cyberbullying Perpetration Among Chinese University Students: The Moderating Role of Internet Self-Efficacy and Gender. Frontiers in Psychology, 1265. https://doi.org/10.3389/fpsyg.2022.779139 [Google Scholar] [Crossref] 
  41. Zhang, D., Huebner, E. S., & Tian, L. (2021). Neuroticism and cyberbullying among elementary school students: A latent growth curve modeling approach. Personality and individual differences, 171, 110472. https://doi.org/10.1016/j.paid.2020.110472 [Google Scholar] [Crossref] 
  42. Zhao, L., & Yu, J. (2021). A meta-analytic review of moral disengagement and cyberbullying. Frontiers in Psychology, 12, 681299. https://doi.org/10.3389/fpsyg.2021.681299 [Google Scholar] [Crossref] 
  43. Zhou, Y., Zheng, W., & Gao, X. (2019). The relationship between the big five and cyberbullying among college students: The mediating effect of moral disengagement. Current Psychology, 38(5), 1162-1173. https://doi.org/10.1007/s12144-018-0005-6 [Google Scholar] [Crossref] 
  44. Zhu, C., Huang, S., Evans, R., & 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, 634909. https://doi.org/10.3389/fpubh.2021.634909 [Google Scholar] [Crossref]