Psychological well-being as a predictor of cyberbullying victimization in university students: a Bayesian approach
IntroductionThe present study examined the relationship between psychological well-being among university students and cyberbullying exposure.MethodsThe study included 262 students from Kuban State University as its sample. The Cyberbullying Scale (CBS) and the Depression, Anxiety, and Stress Scale...
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| Format: | Article |
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Frontiers Media S.A.
2025-06-01
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| Series: | Frontiers in Education |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/feduc.2025.1563122/full |
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| author | Olga V. Sergeeva Marina R. Zheltukhina |
| author_facet | Olga V. Sergeeva Marina R. Zheltukhina |
| author_sort | Olga V. Sergeeva |
| collection | DOAJ |
| description | IntroductionThe present study examined the relationship between psychological well-being among university students and cyberbullying exposure.MethodsThe study included 262 students from Kuban State University as its sample. The Cyberbullying Scale (CBS) and the Depression, Anxiety, and Stress Scale (DASS-21) were used as data collection tools. We preferred Bayesian statistical methods for data analysis.ResultsThe results of the study revealed that exposure to cyberbullying did not differ according to gender, age, and daily internet usage time. Researchers found that depression was the strongest predictor of exposure to cyberbullying, accounting for approximately 9% of the variance. Anxiety and stress variables did not significantly contribute to the explained variance in the model.DiscussionThe findings of the study emphasize the importance of developing protective interventions, especially for students with depressive symptoms. These results underline the significance of developing campaigns against cyberbullying and strengthening university psychological support systems. The findings also highlight the necessity for computer literacy programs and social support systems. |
| format | Article |
| id | doaj-art-c76e45b7708f4e189f567125040f31c6 |
| institution | Kabale University |
| issn | 2504-284X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Education |
| spelling | doaj-art-c76e45b7708f4e189f567125040f31c62025-08-20T03:35:27ZengFrontiers Media S.A.Frontiers in Education2504-284X2025-06-011010.3389/feduc.2025.15631221563122Psychological well-being as a predictor of cyberbullying victimization in university students: a Bayesian approachOlga V. Sergeeva0Marina R. Zheltukhina1English Philology Department, Kuban State University, Krasnodar, RussiaScientific and Educational Center “Person in Communication”, Pyatigorsk State University, Pyatigorsk, RussiaIntroductionThe present study examined the relationship between psychological well-being among university students and cyberbullying exposure.MethodsThe study included 262 students from Kuban State University as its sample. The Cyberbullying Scale (CBS) and the Depression, Anxiety, and Stress Scale (DASS-21) were used as data collection tools. We preferred Bayesian statistical methods for data analysis.ResultsThe results of the study revealed that exposure to cyberbullying did not differ according to gender, age, and daily internet usage time. Researchers found that depression was the strongest predictor of exposure to cyberbullying, accounting for approximately 9% of the variance. Anxiety and stress variables did not significantly contribute to the explained variance in the model.DiscussionThe findings of the study emphasize the importance of developing protective interventions, especially for students with depressive symptoms. These results underline the significance of developing campaigns against cyberbullying and strengthening university psychological support systems. The findings also highlight the necessity for computer literacy programs and social support systems.https://www.frontiersin.org/articles/10.3389/feduc.2025.1563122/fullcyberbullyingpsychological well-beingdepressionanxietystressBayesian statistics |
| spellingShingle | Olga V. Sergeeva Marina R. Zheltukhina Psychological well-being as a predictor of cyberbullying victimization in university students: a Bayesian approach Frontiers in Education cyberbullying psychological well-being depression anxiety stress Bayesian statistics |
| title | Psychological well-being as a predictor of cyberbullying victimization in university students: a Bayesian approach |
| title_full | Psychological well-being as a predictor of cyberbullying victimization in university students: a Bayesian approach |
| title_fullStr | Psychological well-being as a predictor of cyberbullying victimization in university students: a Bayesian approach |
| title_full_unstemmed | Psychological well-being as a predictor of cyberbullying victimization in university students: a Bayesian approach |
| title_short | Psychological well-being as a predictor of cyberbullying victimization in university students: a Bayesian approach |
| title_sort | psychological well being as a predictor of cyberbullying victimization in university students a bayesian approach |
| topic | cyberbullying psychological well-being depression anxiety stress Bayesian statistics |
| url | https://www.frontiersin.org/articles/10.3389/feduc.2025.1563122/full |
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