IDEAS home Printed from https://ideas.repec.org/a/eee/cysrev/v94y2018icp132-139.html
   My bibliography  Save this article

What makes bullies and victims in Korean elementary schools?

Author

Listed:
  • Chung, Jae Young
  • Sun, Mi Suk
  • Kim, Hyun Ju

Abstract

The purpose of this study is to explore the predictive factors associated with school bullying and victimization among Korean elementary students. The data gathered from the Korean Children and Youth Panel Survey (KCYPS) was used in the analysis, which involved logit modeling and negative binomial regression modeling of a generalized linear model in deriving the relationships among the student individual characteristics, family background, and school life factors obtained from 2011 6th graders.

Suggested Citation

  • Chung, Jae Young & Sun, Mi Suk & Kim, Hyun Ju, 2018. "What makes bullies and victims in Korean elementary schools?," Children and Youth Services Review, Elsevier, vol. 94(C), pages 132-139.
    • Handle: RePEc:eee:cysrev:v:94:y:2018:i:c:p:132-139
    DOI: 10.1016/j.childyouth.2018.09.035
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0190740918306418
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.childyouth.2018.09.035?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. A. Colin Cameron & Pravin K. Trivedi, 1986. "Econometric models based on count data. Comparisons and applications of some estimators and tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
    2. de Jong,Piet & Heller,Gillian Z., 2008. "Generalized Linear Models for Insurance Data," Cambridge Books, Cambridge University Press, number 9780521879149, January.
    3. Wei, Hsi-Sheng & Williams, James Herbert & Chen, Ji-Kang & Chang, Hsiu-Yu, 2010. "The effects of individual characteristics, teacher practice, and school organizational factors on students' bullying: A multilevel analysis of public middle schools in Taiwan," Children and Youth Services Review, Elsevier, vol. 32(1), pages 137-143, January.
    4. Gurmu, Shiferaw, 1991. "Tests for Detecting Overdispersion in the Positive Poisson Regression Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(2), pages 215-222, April.
    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. Chung, Jae Young & Lee, Sunbok, 2020. "Are bully-victims homogeneous? Latent class analysis on school bullying," Children and Youth Services Review, Elsevier, vol. 112(C).
    2. Kong, Soyeon & Han, KyeongA, 2024. "A meta-analysis of the effectiveness of group art therapy for children and adolescents of multicultural families: A focus on Korea," Children and Youth Services Review, Elsevier, vol. 161(C).
    3. Pacífico, Ana B. & da Silva, Michael P. & Piola, Thiago S. & Bacil, Eliane D.A. & Campos, Jhonatan G. & Fontana, Fabio & de Campos, Wagner, 2024. "Bullying victimization and aggression, physical activity and sedentary behaviors: A systematic review and meta-analysis," Children and Youth Services Review, Elsevier, vol. 163(C).

    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. Christopher J. W. Zorn, 1998. "An Analytic and Empirical Examination of Zero-Inflated and Hurdle Poisson Specifications," Sociological Methods & Research, , vol. 26(3), pages 368-400, February.
    2. Isabel Mendes & Isabel Proença, 2005. "Estimating the Recreation Value of Ecosystems by Using a Travel Cost Method Approach," Working Papers Department of Economics 2005/08, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    3. Dahen, Hela & Dionne, Georges, 2010. "Scaling models for the severity and frequency of external operational loss data," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1484-1496, July.
    4. Francisco Ledesma & Manuel Navarro & Jorge Perez-Rodriguez, 2005. "Return to tourist destination. Is it reputation, after all?," Applied Economics, Taylor & Francis Journals, vol. 37(18), pages 2055-2065.
    5. David Mihaela & Jemna Dănuţ-Vasile, 2015. "Modeling the Frequency of Auto Insurance Claims by Means of Poisson and Negative Binomial Models," Scientific Annals of Economics and Business, Sciendo, vol. 62(2), pages 151-168, July.
    6. Nakatani, Tomoaki & Sato, Kazuo, 2005. "Truncation and Endogenous Stratification in Various Count Data Models for Recreation Demand Analysis," SSE/EFI Working Paper Series in Economics and Finance 615, Stockholm School of Economics.
    7. V. J. Cano Fernandez & G. Guirao Perez & M. C. Rodriguez Donate & M. E. Romero Rodriguez, 2009. "An analysis of count data models for the study of exclusivity in wine consumption," Applied Economics, Taylor & Francis Journals, vol. 41(12), pages 1563-1574.
    8. Fabrice Gilles & Sabina Issehnane & Florent Sari, 2022. "Using short-term jobs as a way to find a regular job. What kind of role for local context?," TEPP Working Paper 2022-07, TEPP.
    9. Laila Touhami Morghem & Khawlah Ali Abdalla Spetan, 2020. "Determinants of International Migration: An Applied Study on Selected Arab Countries (1995-2017)," International Journal of Economics and Financial Issues, Econjournals, vol. 10(2), pages 6-19.
    10. Kapeliushnikov, Rostislav & Kuznetsov, Andrei & Demina, Natalia & Kuznetsova, Olga, 2013. "Threats to security of property rights in a transition economy: An empirical perspective," Journal of Comparative Economics, Elsevier, vol. 41(1), pages 245-264.
    11. Bettina Becker & Martin Theuringer, 2000. "Macroeconomic Determinants of Contingent Protection: The Case of the European Union," IWP Discussion Paper Series 02/2000, Institute for Economic Policy, Cologne, Germany.
    12. T.R.L. Fry & R.D. Brooks & Br. Comley & J. Zhang, 1993. "Economic Motivations for Limited Dependent and Qualitative Variable Models," The Economic Record, The Economic Society of Australia, vol. 69(2), pages 193-205, June.
    13. Rui Baptista & Joana Mendonça, 2010. "Proximity to knowledge sources and the location of knowledge-based start-ups," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(1), pages 5-29, August.
    14. Yang Lu, 2019. "Flexible (panel) regression models for bivariate count–continuous data with an insurance application," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(4), pages 1503-1521, October.
    15. Robert J. Barro & Rachel M. McCleary, 2016. "Saints Marching In, 1590–2012," Economica, London School of Economics and Political Science, vol. 83(331), pages 385-415, July.
    16. Metiu, Norbert, 2021. "Anticipation effects of protectionist U.S. trade policies," Journal of International Economics, Elsevier, vol. 133(C).
    17. Avanzi, Benjamin & Taylor, Greg & Wong, Bernard & Yang, Xinda, 2021. "On the modelling of multivariate counts with Cox processes and dependent shot noise intensities," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 9-24.
    18. Bowker, James Michael & Starbuck, C. Meghan & English, Donald B.K. & Bergstrom, John C. & Rosenberger, Randall S. & McCollum, Daniel W., 2009. "Estimating the Net Economic Value of National Forest Recreation: An Application of the National Visitor Use Monitoring Database," Faculty Series 59603, University of Georgia, Department of Agricultural and Applied Economics.
    19. Bilgic, Abdulbaki & Florkowski, Wojciech J., 2003. "Truncated-At-Zero Count Data Models With Partial Observability: An Application To The Freshwater Fishing Demand In The Southeastern U.S," 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama 35185, Southern Agricultural Economics Association.
    20. Thomas Bolli & Martin Woerter, 2013. "Technological Diversification and Innovation Performance," KOF Working papers 13-336, KOF Swiss Economic Institute, ETH Zurich.

    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:eee:cysrev:v:94:y:2018:i:c:p:132-139. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/childyouth .

    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.