The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Cyberbullying and its risk factors among Chinese high school students
Abstract
Cyberbullying has become a common occurrence among adolescents worldwide; however, it has yet to receive adequate scholarly attention in China, especially in the mainland. The present study investigated the epidemiological characteristics and risk factors of cyberbullying, utilizing a sample of 1,438 high school students from central China. Findings revealed that cyberbullying among high school students in the heartland of central China is relatively common with 34.84% ( N = 501) of participants reported having bullied someone and 56.88% ( N = 818) reported having been bullied by online. Significant gender differences were found, suggesting that boys are more likely to be involved in cyberbullying both as perpetrators and victims. Students with lower academic achievement were more likely to be perpetrators online than were students with better academic achievement. Students who spend more time on online, have access to the internet in their bedrooms, have themselves experienced traditional bullying as victims, and are frequently involved in instant-messaging and other forms of online entertainment are more likely to experience cyberbullying. Increased parent and teacher supervision reduced students’ involvement in cyberbullying. Implications for intervention are explored.
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Cites
Spillane, J. P. (2003) · Educational Evaluation and Policy Analysis · doi:10.3102/01623737025004343 · Cited by 4,286
Bullying Behaviors Among US Youth: Prevalence and Association With Psychosocial Adjustment
Nansel, T. R., Overpeck, M., Pilla, R. S., Ruan, W. J., Simons-Morton, B., & Scheidt, P. (2001) · JAMA · doi:10.1001/jama.285.16.2094 · Cited by 3,798
Cyberbullying: Its nature and impact in secondary school pupils
Smith, P. K., Mahdavi, J., Carvalho, M., Fisher, S., Russell, S., & Tippett, N. (2008) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2007.01846.x · Cited by 3,639
Tokunaga, R. S. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2009.11.014 · Cited by 2,566
Bullying, Cyberbullying, and Suicide
Hinduja, S., & Patchin, J. W. (2010) · Archives of Suicide Research · doi:10.1080/13811118.2010.494133 · Cited by 2,078
School bullying among adolescents in the United States: Physical, verbal, relational, and cyber
Wang, J., Iannotti, R. J., & Nansel, T. R. (2009) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2009.03.021 · Cited by 2,045
The Impact of Social Media on Children, Adolescents, and Families
O'Keeffe, G. S., Clarke-Pearson, K., & Council on Communications and Media (2011) · Pediatrics · doi:10.1542/peds.2011-0054 · Cited by 1,987
Cyberbullying: Another main type of bullying?
SLONJE, R., & SMITH, P. K. (2008) · Scandinavian Journal of Psychology · doi:10.1111/j.1467-9450.2007.00611.x · Cited by 1,844
Bullies Move Beyond the Schoolyard: A Preliminary Look at Cyberbullying
Patchin, J. W., & Hinduja, S. (2006) · Youth Violence and Juvenile Justice · doi:10.1177/1541204006286288 · Cited by 1,701
Electronic Bullying Among Middle School Students
Kowalski, R. M., & Limber, S. P. (2007) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2007.08.017 · Cited by 1,580
Cited by
Bullying Prevalence Across Contexts: A Meta-analysis Measuring Cyber and Traditional Bullying
Modecki, K. L., Minchin, J., Harbaugh, A. G., Guerra, N. G., & Runions, K. C. (2014) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2014.06.007 · Cited by 1,659
Chen, L., Ho, S. S., & Lwin, M. O. (2017) · New Media & Society · doi:10.1177/1461444816634037 · Cited by 440
A meta‐analysis of sex differences in cyber‐bullying behavior: The moderating role of age
Barlett, C., & Coyne, S. M. (2014) · Aggressive Behavior · doi:10.1002/ab.21555 · Cited by 392
Cassidy, W., Faucher, C., & Jackson, M. (2013) · School Psychology International · doi:10.1177/0143034313479697 · Cited by 354
Chan, H. C. (., & Wong, D. S. W. (2015) · Aggression and Violent Behavior · doi:10.1016/j.avb.2015.05.010 · Cited by 278
Metadata
- Authors
- Zhou, Z., Tang, H., Tian, Y., Wei, H., Zhang, F., & Morrison, C. M.
- Venue
- School Psychology International
- Publisher
- SAGE Publications
- Published
- 2013-05-08
- Volume
- 34
- Issue
- 6
- Pages
- 630-647
- ISSN
- 0143-0343 (ISSN-L)
- 1461-7374
- OpenAlex
- W2042209392
- Cited by
- 314
- References
- 48
- FWCI
- 21.02
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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