IDEAS home Printed from https://ideas.repec.org/a/gam/jsoctx/v5y2015i1p109-135d46003.html
   My bibliography  Save this article

Traditional, Cyber and Combined Bullying Roles: Differences in Risky Online and Offline Activities

Author

Listed:
  • Sebastian Wachs

    (Department of Educational Studies, University of Bremen, Bibliothekstr. 1-3, 28359 Bremen, Germany)

  • Marianne Junger

    (Industrial Engineering and Business Information Systems, University of Twente, P.O. Box 217, 7500-AE Enschede, The Netherland)

  • Ruthaychonee Sittichai

    (Faculty of Humanities and Social Sciences, Prince of Songkla University, Muang, Pattani 94000, Thailand)

Abstract

This study (1) reports frequency rates of mutually exclusive traditional, cyber and combined (both traditional and cyber) bullying roles; and (2) investigates whether adolescents belonging to particular bullying roles show higher levels of involvement in risky online activities (Compulsive Internet Use (CIU), online grooming victimization, and sexting) and risky offline activities (bad behavior in school, drinking alcohol and truancy) than non-involved adolescents. The sample comprised self-reports of 1928 German, Dutch and Thai adolescents (Age = 12–18; M = 14.52; SD = 1.6). The results revealed age, sex and country differences in bullying frequency rates. CIU, sending of sexts and risky offline activities were most strongly associated with combined bully-victims. The receiving of sexts was most strongly associated with combined bullies; and online grooming victimization was most strongly related to cyber bully-victims. Another important finding is that the associations between risky offline activities and combined bullying are stronger than for traditional and cyber bullying. The findings contribute to better understanding of the associations between varying bullying roles and risky online and offline activities among adolescents. In sum, the results underscore the need to promote life skills rather than adopting more conventional approaches, which focus almost exclusively on reduction of risks.

Suggested Citation

  • Sebastian Wachs & Marianne Junger & Ruthaychonee Sittichai, 2015. "Traditional, Cyber and Combined Bullying Roles: Differences in Risky Online and Offline Activities," Societies, MDPI, vol. 5(1), pages 1-27, February.
    • Handle: RePEc:gam:jsoctx:v:5:y:2015:i:1:p:109-135:d:46003
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2075-4698/5/1/109/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2075-4698/5/1/109/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sengupta, Anirban & Chaudhuri, Anoshua, 2011. "Are social networking sites a source of online harassment for teens? Evidence from survey data," Children and Youth Services Review, Elsevier, vol. 33(2), pages 284-290, February.
    2. Ponzo, Michela, 2013. "Does bullying reduce educational achievement? An evaluation using matching estimators," Journal of Policy Modeling, Elsevier, vol. 35(6), pages 1057-1078.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Michelle F. Wright & Sebastian Wachs, 2023. "Cyberbullying Involvement and Depression among Elementary School, Middle School, High School, and University Students: The Role of Social Support and Gender," IJERPH, MDPI, vol. 20(4), pages 1-15, February.
    2. Michelle F. Wright & Sebastian Wachs, 2019. "Does Parental Mediation of Technology Use Moderate the Associations between Cyber Aggression Involvement and Substance Use? A Three-Year Longitudinal Study," IJERPH, MDPI, vol. 16(13), pages 1-13, July.
    3. Efrati, Yaniv & Amichai-Hamburger, Yair, 2020. "Are adolescents who consume pornography different from those who engaged in online sexual activities?," Children and Youth Services Review, Elsevier, vol. 111(C).
    4. Michelle F. Wright & Sebastian Wachs, 2018. "Does Parental Mediation Moderate the Longitudinal Association among Bystanders and Perpetrators and Victims of Cyberbullying?," Social Sciences, MDPI, vol. 7(11), pages 1-10, November.
    5. Escario, José-Julián & Rodriguez-Sanchez, Carla & Sancho-Esper, Franco & Barlés-Arizón, María-José, 2023. "A quantitative analysis of factors related to adolescent cybervictimization in Spain: A multilevel logistic regression approach," Children and Youth Services Review, Elsevier, vol. 155(C).
    6. Inmaculada Méndez & Ana Belén Jorquera & Cecilia Ruiz Esteban & José Manuel García-Fernández, 2020. "Profiles of Mobile Phone Use, Cyberbullying, and Emotional Intelligence in Adolescents," Sustainability, MDPI, vol. 12(22), pages 1-10, November.
    7. Sebastian Wachs & Ludwig Bilz & Saskia M. Fischer & Michelle F. Wright, 2017. "Do Emotional Components of Alexithymia Mediate the Interplay between Cyberbullying Victimization and Perpetration?," IJERPH, MDPI, vol. 14(12), pages 1-11, December.
    8. Inmaculada Méndez & Ana Belén Jorquera & Cecilia Ruiz Esteban & José Manuel García-Fernández, 2020. "Profiles of Problematic Internet Use in Bullying and Cyberbullying among Adolescents," IJERPH, MDPI, vol. 17(19), pages 1-11, September.
    9. Michelle F. Wright & Sebastian Wachs, 2020. "Adolescents’ Cyber Victimization: The Influence of Technologies, Gender, and Gender Stereotype Traits," IJERPH, MDPI, vol. 17(4), pages 1-11, February.
    10. Sebastian Wachs & Michelle F. Wright & Manuel Gámez-Guadix & Nicola Döring, 2021. "How Are Consensual, Non-Consensual, and Pressured Sexting Linked to Depression and Self-Harm? The Moderating Effects of Demographic Variables," IJERPH, MDPI, vol. 18(5), pages 1-16, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aiello, Francesco & Albanese, Giuseppe & Piselli, Paolo, 2019. "Good value for public money? The case of R&D policy," Journal of Policy Modeling, Elsevier, vol. 41(6), pages 1057-1076.
    2. Ethel Quayle, 2016. "Researching online child sexual exploitation and abuse: are there links between online and offline vulnerabilities?," LSE Research Online Documents on Economics 71260, London School of Economics and Political Science, LSE Library.
    3. Dimitrios Nikolaou & Laura M. Crispin, 2022. "Estimating the effects of sports and physical exercise on bullying," Contemporary Economic Policy, Western Economic Association International, vol. 40(2), pages 283-303, April.
    4. Bernhard C. Dannemann, 2020. "Peer Effects in Secondary Education: Evidence from the 2015 Trends in Mathematics and Science Study Based on Homophily," Working Papers V-428-20, University of Oldenburg, Department of Economics, revised Feb 2020.
    5. Ogundari, Kolawole, 2021. "A systematic review of statistical methods for estimating an education production function," MPRA Paper 105283, University Library of Munich, Germany.
    6. Shahriar Kibriya & Zhicheng Phil Xu & Yu Zhang, 2017. "The negative consequences of school bullying on academic performance and mitigation through female teacher participation: evidence from Ghana," Applied Economics, Taylor & Francis Journals, vol. 49(25), pages 2480-2490, May.
    7. Comi, Simona & Origo, Federica & Pagani, Laura & Tonello, Marco, 2021. "Last and furious: Relative position and school violence," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 736-756.
    8. Mª Victoria Bordonaba-Juste & Laura Lucia-Palacios & Raúl Pérez-López, 2020. "Generational differences in valuing usefulness, privacy and security negative experiences for paying for cloud services," Information Systems and e-Business Management, Springer, vol. 18(1), pages 35-60, March.
    9. Gorman, Emma & Harmon, Colm & Mendolia, Silvia & Staneva, Anita & Walker, Ian, 2019. "The Causal Effects of Adolescent School Bullying Victimisation on Later Life Outcomes," Working Papers 2019-05, University of Sydney, School of Economics.
    10. Aizenkot, Dana, 2020. "Social networking and online self-disclosure as predictors of cyberbullying victimization among children and youth," Children and Youth Services Review, Elsevier, vol. 119(C).
    11. German Ben-Hayun, Shiran & Perry-Hazan, Lotem, 2023. "In the same boat: Parents’ and teachers’ role in protecting elementary school students’ online rights," Children and Youth Services Review, Elsevier, vol. 146(C).
    12. Contreras, Dante & Elacqua, Gregory & Martinez, Matías & Miranda, Álvaro, 2016. "Bullying, identity and school performance: Evidence from Chile," International Journal of Educational Development, Elsevier, vol. 51(C), pages 147-162.
    13. Júlia Sbroglio Rizzotto & Marco Túlio Aniceto França, 2021. "Does Bullying Affect the School Performance of Brazilian Students? An Analysis Using Pisa 2015," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 14(3), pages 1027-1053, June.
    14. Tapos Kumar Dutt, 2023. "Use of Facebook in Support of Collaborative Learning to Enhance Learning Outcomes in ‘R’ Government College, Bangladesh," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(3), pages 904-964, March.
    15. Kibriya, Shahriar & Xu, Zhicheng P. & Zhang, Yu, 2015. "The impact of bullying on educational performance in Ghana: A Bias-reducing Matching Approach," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205409, Agricultural and Applied Economics Association.
    16. Bennett, Fidel & Contreras, Dante & Morales Cerda, Matías, 2022. "The consequences of exclusionary discipline on school dropout: Evidence from Chile," International Journal of Educational Development, Elsevier, vol. 95(C).
    17. Fulvio Castellacci & Vegard Tveito, 2016. "The Effects of ICTs on Well-being: A Survey and a Theoretical Framework," Working Papers on Innovation Studies 20161004, Centre for Technology, Innovation and Culture, University of Oslo.
    18. Dimitrios Nikolaou, 2022. "Identifying the effects of bullying victimization on schooling," Contemporary Economic Policy, Western Economic Association International, vol. 40(1), pages 162-189, January.
    19. José M. Cordero & Víctor Cristóbal & Daniel Santín, 2018. "Causal Inference On Education Policies: A Survey Of Empirical Studies Using Pisa, Timss And Pirls," Journal of Economic Surveys, Wiley Blackwell, vol. 32(3), pages 878-915, July.
    20. Zhang, Chunqin & Juan, Zhicai & Xiao, Guangnian, 2015. "Do contractual practices affect technical efficiency? Evidence from public transport operators in China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 80(C), pages 39-55.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsoctx:v:5:y:2015:i:1:p:109-135:d:46003. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.