IDEAS home Printed from https://ideas.repec.org/a/eee/cysrev/v132y2022ics0190740921003455.html
   My bibliography  Save this article

Identifying revictimization trajectories among adolescent girls using latent class growth analysis: An examination of state dependence and population heterogeneity

Author

Listed:
  • Cho, Sujung
  • Harper, Shannon B.
  • Kim, Youngsik

Abstract

This study examines the relationship between prior varying forms of victimization (physical abuse) and subsequent bullying victimization (i.e., state dependence) among 574 adolescent girls, and tests how risky lifestyles (family violence, sibling aggression, peer delinquency, self-report delinquency) (i.e., population heterogeneity) mediate this relationship. A diverse, majority African American sample of adolescent girls in grades 5–7 in the Midwest were followed into middle school. The current study uniquely explores the gendered and racial contexts through which bullying victimization is experienced and occurs. Latent class growth analysis revealed four distinct bullying trajectory subgroups: early onset-stable, early onset declining, low-late peak, and normative. Prior victimizations and risky lifestyles had a significant positive effect for all three groups when compared to the normative group. Risky lifestyles partially mediated the relationship between prior physical abuse victimizations and class membership for all groups when compared to the normative group.

Suggested Citation

  • Cho, Sujung & Harper, Shannon B. & Kim, Youngsik, 2022. "Identifying revictimization trajectories among adolescent girls using latent class growth analysis: An examination of state dependence and population heterogeneity," Children and Youth Services Review, Elsevier, vol. 132(C).
  • Handle: RePEc:eee:cysrev:v:132:y:2022:i:c:s0190740921003455
    DOI: 10.1016/j.childyouth.2021.106269
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0190740921003455
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.childyouth.2021.106269?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. Glassner, Steven D., 2020. "Bullying victimization and delinquent involvement: An application of general strain theory," Children and Youth Services Review, Elsevier, vol. 116(C).
    2. Vikse Nicholson, Juliann & Chen, Yafan & Huang, Chien-Chung, 2018. "Children's exposure to intimate partner violence and peer bullying victimization," Children and Youth Services Review, Elsevier, vol. 91(C), pages 439-446.
    3. Evans, Caroline B.R. & Smokowski, Paul R. & Cotter, Katie L., 2014. "Cumulative bullying victimization: An investigation of the dose–response relationship between victimization and the associated mental health outcomes, social supports, and school experiences of rural ," Children and Youth Services Review, Elsevier, vol. 44(C), pages 256-264.
    4. Bengt Muthén & Kerby Shedden, 1999. "Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithm," Biometrics, The International Biometric Society, vol. 55(2), pages 463-469, June.
    5. Silver, E. & Arseneault, L. & Langley, J. & Caspi, A. & Moffitt, T.E., 2005. "Mental disorder and violent victimization in a total birth cohort," American Journal of Public Health, American Public Health Association, vol. 95(11), pages 2015-2021.
    6. Meldrum, Ryan C. & Boman, John H., 2013. "Similarities and differences between perceptions of peer delinquency, peer self-reported delinquency, and respondent delinquency: An analysis of friendship dyads," Journal of Criminal Justice, Elsevier, vol. 41(6), pages 395-406.
    7. Kim, H. & Wildeman, C. & Jonson-Reid, M. & Drake, B., 2017. "Lifetime prevalence of investigating child maltreatment among US children," American Journal of Public Health, American Public Health Association, vol. 107(2), pages 274-280.
    8. Cho, Sujung & Wooldredge, John, 2016. "The link between juvenile offending and victimization: Sources of change over time in bullying victimization risk among South Korean adolescents," Children and Youth Services Review, Elsevier, vol. 71(C), pages 119-129.
    Full references (including those not matched with items on IDEAS)

    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. Cho, Sujung & Lee, Yung Hyeock, 2020. "Assessing self-control and strain of delinquent peer association trajectories within developmental perspectives: A latent class growth analysis approach," Children and Youth Services Review, Elsevier, vol. 109(C).
    2. Marco Guerra & Francesca Bassi & José G. Dias, 2020. "A Multiple-Indicator Latent Growth Mixture Model to Track Courses with Low-Quality Teaching," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(2), pages 361-381, January.
    3. Michael Prendergast & David Huang & Yih-Ing Hser, 2008. "Patterns of Crime and Drug Use Trajectories in Relation to Treatment Initiation and 5-Year Outcomes," Evaluation Review, , vol. 32(1), pages 59-82, February.
    4. Silvia Bacci & Francesco Bartolucci & Giulia Bettin & Claudia Pigini, 2017. "A mixture growth model for migrants' remittances: An application to the German Socio-Economic Panel," Mo.Fi.R. Working Papers 145, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    5. Kim, Hyunil & Kim, Yun Young & Song, Eun-Jee & Windsor, Liliane, 2024. "Policies to reduce child poverty and child maltreatment: A scoping review and preliminary estimates of indirect effects," Children and Youth Services Review, Elsevier, vol. 156(C).
    6. Patrick Sturgis & Louise Sullivan, 2008. "Exploring social mobility with latent trajectory groups," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(1), pages 65-88, January.
    7. Getachew A. Dagne, 2016. "A growth mixture Tobit model: application to AIDS studies," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(7), pages 1174-1185, July.
    8. Bacci, Silvia & Bartolucci, Francesco & Pigini, Claudia & Signorelli, Marcello, 2014. "A finite mixture latent trajectory model for hirings and separations in the labor market," MPRA Paper 59730, University Library of Munich, Germany.
    9. Proust-Lima, Cécile & Joly, Pierre & Dartigues, Jean-François & Jacqmin-Gadda, Hélène, 2009. "Joint modelling of multivariate longitudinal outcomes and a time-to-event: A nonlinear latent class approach," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1142-1154, February.
    10. Virginia Araceli Feliz & Sue D. Hobbs & Rose Borunda, 2022. "Strengthen and Respect Each Thread," IJERPH, MDPI, vol. 19(21), pages 1-11, October.
    11. Hoeben, Evelien M. & Meldrum, Ryan C. & Walker, D'Andre & Young, Jacob T.N., 2016. "The role of peer delinquency and unstructured socializing in explaining delinquency and substance use: A state-of-the-art review," Journal of Criminal Justice, Elsevier, vol. 47(C), pages 108-122.
    12. Brett Drake & Melissa Jonson-Reid & Hyunil Kim, 2017. "Surveillance Bias in Child Maltreatment: A Tempest in a Teapot," IJERPH, MDPI, vol. 14(9), pages 1-15, August.
    13. Francesco Bartolucci & Ivonne Solis-Trapala, 2010. "Multidimensional Latent Markov Models in a Developmental Study of Inhibitory Control and Attentional Flexibility in Early Childhood," Psychometrika, Springer;The Psychometric Society, vol. 75(4), pages 725-743, December.
    14. Yuan Liu & Hongyun Liu, 2019. "Effects of Distance and Shape on the Estimation of the Piecewise Growth Mixture Model," Journal of Classification, Springer;The Classification Society, vol. 36(3), pages 659-677, October.
    15. Benjamin Agbo & Hussain Al-Aqrabi & Richard Hill & Tariq Alsboui, 2022. "Missing Data Imputation in the Internet of Things Sensor Networks," Future Internet, MDPI, vol. 14(5), pages 1-16, May.
    16. Cénat, Jude Mary & McIntee, Sara-Emilie & Mukunzi, Joana N. & Noorishad, Pari-Gole, 2021. "Overrepresentation of Black children in the child welfare system: A systematic review to understand and better act," Children and Youth Services Review, Elsevier, vol. 120(C).
    17. Yanqiu Yu & Joyce Hoi-Yuk Ng & Anise M. S. Wu & Juliet Honglei Chen & Deborah Baofeng Wang & Guohua Zhang & Mengni Du & Dajin Du & Mingxuan Du & Joseph T. F. Lau, 2022. "Psychometric Properties of the Abbreviated Version of the Dual School Climate and School Identification Measure–Student (SCASIM-St15) among Adolescents in China," IJERPH, MDPI, vol. 19(24), pages 1-11, December.
    18. Isabelle Archambault & Véronique Dupéré, 2017. "Joint trajectories of behavioral, affective, and cognitive engagement in elementary school," The Journal of Educational Research, Taylor & Francis Journals, vol. 110(2), pages 188-198, March.
    19. Pietro Lovaglio & Mario Mezzanzanica, 2013. "Classification of longitudinal career paths," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 989-1008, February.
    20. Zhou, Xingcai & Liu, Xinsheng, 2008. "The EM algorithm for the extended finite mixture of the factor analyzers model," Computational Statistics & Data Analysis, Elsevier, vol. 52(8), pages 3939-3953, April.

    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:132:y:2022:i:c:s0190740921003455. 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.