IDEAS home Printed from https://ideas.repec.org/a/eee/cysrev/v91y2018icp196-203.html
   My bibliography  Save this article

A latent profile analysis of exposure to community violence and peer delinquency in African American adolescents

Author

Listed:
  • Burnside, Amanda N.
  • Gaylord-Harden, Noni K.
  • So, Suzanna
  • Voisin, Dexter R.

Abstract

Person-based analyses have demonstrated wide variability among the levels of exposure to community violence (ECV) experienced by youth in disadvantaged communities. In addition, social network research has found that violence victimization tends to occur primarily among a small social group, demonstrating that levels of peer delinquency may be a factor that distinguishes among youth who experience high and low levels of ECV.

Suggested Citation

  • Burnside, Amanda N. & Gaylord-Harden, Noni K. & So, Suzanna & Voisin, Dexter R., 2018. "A latent profile analysis of exposure to community violence and peer delinquency in African American adolescents," Children and Youth Services Review, Elsevier, vol. 91(C), pages 196-203.
    • Handle: RePEc:eee:cysrev:v:91:y:2018:i:c:p:196-203
    DOI: 10.1016/j.childyouth.2018.06.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0190740918301853
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.childyouth.2018.06.014?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. So, Suzanna & Voisin, Dexter R. & Burnside, Amanda & Gaylord-Harden, Noni K., 2016. "Future orientation and health related factors among African American adolescents," Children and Youth Services Review, Elsevier, vol. 61(C), pages 15-21.
    2. Venkatram Ramaswamy & Wayne S. Desarbo & David J. Reibstein & William T. Robinson, 1993. "An Empirical Pooling Approach for Estimating Marketing Mix Elasticities with PIMS Data," Marketing Science, INFORMS, vol. 12(1), pages 103-124.
    3. Zimmerman, G.M. & Messner, S.F., 2013. "Individual, family background, and contextual explanations of racial and ethnic disparities in youths' exposure to violence," American Journal of Public Health, American Public Health Association, vol. 103(3), pages 435-442.
    4. Stanley Sclove, 1987. "Application of model-selection criteria to some problems in multivariate analysis," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 333-343, September.
    5. Hirotugu Akaike, 1987. "Factor analysis and AIC," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 317-332, September.
    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. Schreier, Alayna & Stenersen, Madeline R. & Strambler, Michael J. & Marshall, Tim & Bracey, Jeana & Kaufman, Joy S., 2023. "Needs of caregivers of youth enrolled in a statewide system of care: A latent class analysis," Children and Youth Services Review, Elsevier, vol. 147(C).
    2. 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.
    3. Moira Mckniff & Stephanie M. Simone & Tania Giovannetti, 2023. "Age, Loneliness, and Social Media Use in Adults during COVID-19: A Latent Profile Analysis," IJERPH, MDPI, vol. 20(11), pages 1-12, May.
    4. Caili Liu & Yong Wei & Yu Ling & E. Scott Huebner & Yifang Zeng & Qin Yang, 2020. "Identifying Trajectories of Chinese High School Students’ Depressive Symptoms: an Application of Latent Growth Mixture Modeling," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 15(3), pages 775-789, July.
    5. Lanyan Ding & Lok-Wa Yuen & Ian M. Newman & Duane F. Shell, 2018. "University Students’ Willingness to Assist Fellow Students Who Experience Alcohol-Related Facial Flushing to Reduce Their Drinking," IJERPH, MDPI, vol. 15(5), pages 1-13, April.
    6. Yu Ling & E. Scott Huebner & Hongmei Yuan & Zhihua Li & Wenli Liu, 2016. "Subtyping of Strengths and Difficulties in a Chinese Adolescent Sample: a Latent Class Analysis," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 9(4), pages 933-948, December.
    7. Yu Ling & E. Scott Huebner & Yu-shu He & Ming-tian Zhong, 2016. "Three Subtypes of Internalizing and Externalizing Behaviors in Chinese Adolescents: Results of a Latent Class Analysis," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 11(4), pages 1309-1320, December.
    8. Boduszek, Daniel & Debowska, Agata & Willmott, Dominic, 2017. "Latent profile analysis of psychopathic traits among homicide, general violent, property, and white-collar offenders," Journal of Criminal Justice, Elsevier, vol. 51(C), pages 17-23.
    9. Jiwon Lee & Midam An & Yongku Kim & Jung-In Seo, 2021. "Optimal Allocation for Electric Vehicle Charging Stations," Energies, MDPI, vol. 14(18), pages 1-10, September.
    10. Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 345-370, September.
    11. Wenjie Duan & Bo Qi & Junrong Sheng & Yuhang Wang, 2020. "Latent Character Strength Profile and Grouping Effects," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(1), pages 345-359, January.
    12. T. Paul de Cock & Mark Shevlin, 2014. "Parental Bonding," SAGE Open, , vol. 4(3), pages 21582440145, August.
    13. Yi-Jhen Wu & Yi-Hsin Chen & Sarah M. Kiefer & Claus H. Carstensen, 2021. "Learning Strategies as Moderators Between Motivation and Mathematics Performance in East Asian Students: Latent Class Analysis," SAGE Open, , vol. 11(4), pages 21582440211, November.
    14. William Magee & Sébastien St-Arnaud, 2012. "Models of the Joint Structure of Domain-Related and Global Distress: Implications for the Reconciliation of Quality of Life and Mental Health Perspectives," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 105(1), pages 161-185, January.
    15. repec:jss:jstsof:06:i02 is not listed on IDEAS
    16. Yang, Chih-Chien, 2006. "Evaluating latent class analysis models in qualitative phenotype identification," Computational Statistics & Data Analysis, Elsevier, vol. 50(4), pages 1090-1104, February.
    17. Adriana Díez-Gómez & Alicia Pérez-Albéniz & Carla Sebastián-Enesco & Eduardo Fonseca-Pedrero, 2020. "Suicidal Behavior in Adolescents: A Latent Class Analysis," IJERPH, MDPI, vol. 17(8), pages 1-11, April.
    18. Thorhildur Halldorsdottir & Maria G Fraire & Deborah A. G. Drabick & Thomas H. Ollendick, 2023. "Co-Occurring Conduct Problems and Anxiety: Implications for the Functioning and Treatment of Youth with Oppositional Defiant Disorder," IJERPH, MDPI, vol. 20(4), pages 1-12, February.
    19. Sarah Butter & Jamie Murphy & Mark Shevlin & James Houston, 2017. "Social isolation and psychosis-like experiences: a UK general population analysis," Psychosis, Taylor & Francis Journals, vol. 9(4), pages 291-300, October.
    20. Jennifer M. Boldero & Richard C. Bell & Susan M. Moore, 2010. "Do gambling activity patterns predict gambling problems? A latent class analysis of gambling forms among Australian youth," International Gambling Studies, Taylor & Francis Journals, vol. 10(2), pages 151-163, August.
    21. Wenjie Duan & Yujia Fei & Xiaoqing Tang, 2020. "Latent Profiles and Grouping Effects of Resilience on Mental Health among Poor Children and Adolescents," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 13(2), pages 635-655, April.

    More about this item

    Statistics

    Access and download statistics

    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:91:y:2018:i:c:p:196-203. 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.