IDEAS home Printed from https://ideas.repec.org/a/eee/cysrev/v58y2015icp82-89.html
   My bibliography  Save this article

Do youth with substantiated child maltreatment investigations have distinct patterns of delinquent behaviors?

Author

Listed:
  • Snyder, Susan M.
  • Smith, Rachel E.

Abstract

Delinquency studies often use substantiation as a proxy for child maltreatment, but may underestimate maltreatment involved in unsubstantiated reports. This study assesses whether youth with unsubstantiated investigations have distinct subtypes of delinquency as compared to youth with substantiated reports. We conclude that while the subtypes of delinquency are similar, some differences between the two groups underscore the need to study the larger population of unsubstantiated investigations, which comprise 81.5% of investigations. To compare the groups we used two-group latent class analysis, and then regressed covariates onto the resulting subtypes. The sample consisted of 432 11–17year old participants in Wave 1 of the second National Survey of Child and Adolescent Well-Being (NSCAW II) with no prior investigations; 191 youth had unsubstantiated investigations and 241 youth had substantiated investigations. We identified three similar subtypes for both groups: delinquency, petty theft, and normative. We found two differences: First, more unsubstantiated youth were normative subtype members and fewer were in the petty theft and delinquency subtypes. Second, delinquency subtype youth with unsubstantiated investigations were more likely to attack with a weapon, steal or try to steal things worth between $50 and $100, and shoplift. In contrast, substantiated youth were more likely to carry a hidden weapon. When covariates were included we found that being male reduced the likelihood of being in the petty theft subtype. For substantiated cases, being older or male increased the likelihood of being in the delinquency subtype. Our findings of high probabilities of marijuana and inhalant use among delinquency subtype youth for both groups is a target for interventions.

Suggested Citation

  • Snyder, Susan M. & Smith, Rachel E., 2015. "Do youth with substantiated child maltreatment investigations have distinct patterns of delinquent behaviors?," Children and Youth Services Review, Elsevier, vol. 58(C), pages 82-89.
  • Handle: RePEc:eee:cysrev:v:58:y:2015:i:c:p:82-89
    DOI: 10.1016/j.childyouth.2015.09.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0190740915300542
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.childyouth.2015.09.008?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. Vermunt, Jeroen K., 2010. "Latent Class Modeling with Covariates: Two Improved Three-Step Approaches," Political Analysis, Cambridge University Press, vol. 18(4), pages 450-469.
    2. Snyder, Susan M. & Merritt, Darcey H., 2014. "Do childhood experiences of neglect affect delinquency among child welfare involved-youth?," Children and Youth Services Review, Elsevier, vol. 46(C), pages 64-71.
    3. English, Diana J. & Marshall, David B. & Coghlan, Laura & Brummel, Sherry & Orme, Matthew, 2002. "Causes and Consequences of the Substantiation Decision in Washington State Child Protective Services," Children and Youth Services Review, Elsevier, vol. 24(11), pages 817-851, November.
    4. Chiu, Yu-Ling & Ryan, Joseph P. & Herz, Denise C., 2011. "Allegations of maltreatment and delinquency: Does risk of juvenile arrest vary substantiation status?," Children and Youth Services Review, Elsevier, vol. 33(6), pages 855-860, June.
    5. Snyder, Susan M. & Medeiros, Rose Anne, 2013. "Typologies of substance use and illegal behaviors: A comparison of emerging adults with histories of foster care and the general population," Children and Youth Services Review, Elsevier, vol. 35(5), pages 753-761.
    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. Christina Bentrup, 2020. "The dual trajectory approach: detecting developmental behavioural overlaps in longitudinal and intergenerational research," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 43-65, February.
    2. Lynch, Sean & Sherman, Laura & Snyder, Susan M. & Mattson, Margaret, 2018. "Trends in infants reported to child welfare with neonatal abstinence syndrome (NAS)," Children and Youth Services Review, Elsevier, vol. 86(C), pages 135-141.
    3. Cheng, Tyrone C. & Li, Qingyi, 2017. "Adolescent delinquency in child welfare system: A multiple disadvantage model," Children and Youth Services Review, Elsevier, vol. 73(C), pages 205-212.
    4. Potter, Marina Haddock & Font, Sarah A., 2019. "Parenting influences on adolescent sexual risk-taking: Differences by child welfare placement status," Children and Youth Services Review, Elsevier, vol. 96(C), pages 134-144.

    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. Fetene B. Tekle & Dereje W. Gudicha & Jeroen K. Vermunt, 2016. "Power analysis for the bootstrap likelihood ratio test for the number of classes in latent class models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 10(2), pages 209-224, June.
    2. Yifan Zhu & Chongzhi Di & Ying Qing Chen, 2019. "Clustering Functional Data with Application to Electronic Medication Adherence Monitoring in HIV Prevention Trials," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 11(2), pages 238-261, July.
    3. Roberto Rocci & Stefano Antonio Gattone & Roberto Di Mari, 2018. "A data driven equivariant approach to constrained Gaussian mixture modeling," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(2), pages 235-260, June.
    4. Thøgersen, John, 2017. "Housing-related lifestyle and energy saving: A multi-level approach," Energy Policy, Elsevier, vol. 102(C), pages 73-87.
    5. Gil, J.M. & Diaz-Montenegro, J. & Varela, E., 2018. "A Bias-Adjusted Three-Step approach for analysing the livelihood strategies and the asset mix of cacao producers in Ecuador," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277215, International Association of Agricultural Economists.
    6. Layland, Eric K. & Maggs, Jennifer L. & Kipke, Michele D. & Bray, Bethany C., 2022. "Intersecting racism and homonegativism among sexual minority men of color: Latent class analysis of multidimensional stigma with subgroup differences in health and sociostructural burdens," Social Science & Medicine, Elsevier, vol. 293(C).
    7. Jennifer Oser & Marc Hooghe & Zsuzsa Bakk & Roberto Mari, 2023. "Changing citizenship norms among adolescents, 1999-2009-2016: A two-step latent class approach with measurement equivalence testing," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4915-4933, October.
    8. Yujin Kim & Hyeyoung Woo & Sinn Won Han, 2022. "Work and Family Pathways and Their Associations with Health for Young Women in Korea," IJERPH, MDPI, vol. 19(23), pages 1-17, November.
    9. Lecegui, Antonio & Olaizola, Ana María & López-i-Gelats, Feliu & Varela, Elsa, 2022. "Implementing the livelihood resilience framework: An indicator-based model for assessing mountain pastoral farming systems," Agricultural Systems, Elsevier, vol. 199(C).
    10. Sasso, Alessandro & Hernández-Alava, Mónica & Holmes, John & Field, Matt & Angus, Colin & Meier, Petra, 2022. "Strategies to cut down drinking, alcohol consumption, and usual drinking frequency: Evidence from a British online market research survey," Social Science & Medicine, Elsevier, vol. 310(C).
    11. Sarah R Lowe & Ethan J Raker & Mary C Waters & Jean E Rhodes, 2020. "Predisaster predictors of posttraumatic stress symptom trajectories: An analysis of low-income women in the aftermath of Hurricane Katrina," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-19, October.
    12. Aely Park & Youngmi Kim & Jennifer Murphy, 2023. "Adverse Childhood Experiences and Substance Use Among Korean College Students: Different by Gender?," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(4), pages 1811-1825, August.
    13. Braciszewski, Jordan M. & Vose-O'Neal, Adam & Gamarel, Kristi E. & Colby, Suzanne M., 2019. "Combustible cigarette smoking and alternative tobacco use in a sample of youth transitioning from foster care," Children and Youth Services Review, Elsevier, vol. 96(C), pages 231-236.
    14. Zsuzsa Bakk & Jouni Kuha, 2018. "Two-Step Estimation of Models Between Latent Classes and External Variables," Psychometrika, Springer;The Psychometric Society, vol. 83(4), pages 871-892, December.
    15. S. C. Noah Uhrig & Nicole Watson, 2020. "The Impact of Measurement Error on Wage Decompositions: Evidence From the British Household Panel Survey and the Household, Income and Labour Dynamics in Australia Survey," Sociological Methods & Research, , vol. 49(1), pages 43-78, February.
    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. Bakk, Zsuzsa & Kuha, Jouni, 2020. "Relating latent class membership to external variables: an overview," LSE Research Online Documents on Economics 107564, London School of Economics and Political Science, LSE Library.
    18. Herwig Immervoll & Daniele Pacifico & Marieke Vandeweyer, 2019. "Faces of joblessness in Australia: An anatomy of employment barriers using household data," OECD Social, Employment and Migration Working Papers 226, OECD Publishing.
    19. Sarah Brown & William Greene & Mark Harris, 2020. "A novel approach to latent class modelling: identifying the various types of body mass index individuals," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 983-1004, June.
    20. Chen, Runting & Huang, Yueyi & Yu, Meng, 2021. "The latent profile analysis of Chinese adolescents’ depression: Examination and validation," Children and Youth Services Review, Elsevier, vol. 125(C).

    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:58:y:2015:i:c:p:82-89. 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.