IDEAS home Printed from https://ideas.repec.org/a/spr/joqcri/v16y2000i2d10.1023_a1007516622688.html

Developmental Trajectories of Aggressive and Non-Aggressive Conduct Problems

Author

Listed:
  • Barbara Maughan

    (Kings College, Medical Research Council Child Psychiatry Unit and Social Genetic and Developmental Psychiatry Research Centre, Institute of Psychiatry)

  • Andrew Pickles

    (University of Manchester, School of Epidemiology and Health Science and Centre for Census and Survey Research)

  • Richard Rowe

    (Kings College, Medical Research Council Child Psychiatry Unit and Social Genetic and Developmental Psychiatry Research Centre, Institute of Psychiatry)

  • E. Jane Costello

    (Duke University Medical Center, Developmental Epidemiology Center, Department of Psychiatry and Behavioral Sciences)

  • Adrian Angold

    (Duke University Medical Center, Developmental Epidemiology Center, Department of Psychiatry and Behavioral Sciences)

Abstract

Modeling the heterogeneous trajectories along which antisocial behaviordevelops in childhood and adolescence may contribute in important waysto understanding antecedents of offending in adult life. This paperexamines the development of aggressive and non-aggressive conduct problemsin the Great Smoky Mountains Study of Youth, a longitudinal study in thesoutheastern United States. Aggressive and non-aggressive conduct problemsof clinical severity, police contact and arrest, and family andenvironmental correlates were assessed in four annual interviews for789 boys and 630 girls aged 9–13 at first interview. The bestfitting latent class model identified three developmental trajectories:stable low problem levels, stable high problem levels, and declining levelsof conduct problems, for both aggressive and non-aggressive behaviors. Boyswere over-represented in the stable high trajectory class on the aggressivetrajectory, but sex differences in non-aggressive trajectories were lessmarked. The overlap between aggressive and non-aggressive trajectory classeswas quite limited. Both classifications showed strong associations withrisks of police contact and arrest in early adolescence, and with measuresof family adversity. The results are discussed in relation to developmentalmodels of conduct disorder and delinquency.

Suggested Citation

  • Barbara Maughan & Andrew Pickles & Richard Rowe & E. Jane Costello & Adrian Angold, 2000. "Developmental Trajectories of Aggressive and Non-Aggressive Conduct Problems," Journal of Quantitative Criminology, Springer, vol. 16(2), pages 199-221, June.
    • Handle: RePEc:spr:joqcri:v:16:y:2000:i:2:d:10.1023_a:1007516622688
    DOI: 10.1023/A:1007516622688
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/A:1007516622688
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1023/A:1007516622688?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
    ---><---

    References listed on IDEAS

    as
    1. Sophia Rabe-Hesketh & Andrew Pickles & Colin Taylor, 2000. "Generalized linear latent and mixed models," Stata Technical Bulletin, StataCorp LLC, vol. 9(53).
    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. Cesar J. Rebellon & Irwin Waldman, 2003. "Deconstructing “Force and Fraud”: An Empirical Assessment of the Generality of Crime," Journal of Quantitative Criminology, Springer, vol. 19(3), pages 303-321, September.
    2. Laura Dugan, 2002. "Identifying Unit-Dependency and Time-Specificity in Longitudinal Analysis: A Graphical Methodology," Journal of Quantitative Criminology, Springer, vol. 18(3), pages 213-237, September.
    3. Elaine P. Eggleston & John H. Laub & Robert J. Sampson, 2004. "Methodological Sensitivities to Latent Class Analysis of Long-Term Criminal Trajectories," Journal of Quantitative Criminology, Springer, vol. 20(1), pages 1-26, 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. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2004. "GLLAMM Manual," U.C. Berkeley Division of Biostatistics Working Paper Series 1160, Berkeley Electronic Press.
    2. Tor Helge Holmås, 2002. "Keeping nurses at work: a duration analysis," Health Economics, John Wiley & Sons, Ltd., vol. 11(6), pages 493-503, September.
    3. António Afonso & Pedro Gomes & Philipp Rother, 2006. "What “Hides” Behind Sovereign Debt Ratings?," Working Papers Department of Economics 2006/35, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    4. Gebremeskel Berhane Tesfay & Babatunde Abidoye, 2019. "Shocks in food availability and intra-household resources allocation: evidence on children nutrition outcomes in Ethiopia," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 7(1), pages 1-21, December.
    5. Jennifer Martínez‐Ferrero & Isabel M. Garcia‐Sanchez & Beatriz Cuadrado‐Ballesteros, 2015. "Effect of Financial Reporting Quality on Sustainability Information Disclosure," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 22(1), pages 45-64, January.
    6. Antonio Afonso & Pedro Gomes & Philipp Rother, 2009. "Ordered response models for sovereign debt ratings," Applied Economics Letters, Taylor & Francis Journals, vol. 16(8), pages 769-773.
    7. Jennifer Martínez-Ferrero & Isabel-María García-Sánchez, 2018. "The Level of Sustainability Assurance: The Effects of Brand Reputation and Industry Specialisation of Assurance Providers," Journal of Business Ethics, Springer, vol. 150(4), pages 971-990, July.
    8. Marc Willinger & Mohamed Ali Bchir & Carine Heitz, 2013. "Risk and time preferences under the threat of background risk: a case-study of lahars risk in central Java," Working Papers 13-08, LAMETA, Universtiy of Montpellier, revised May 2013.
    9. Audretsch, David Bruce & Belitski, Maksim & Guerrero, Maribel, 2022. "The dynamic contribution of innovation ecosystems to schumpeterian firms: A multi-level analysis," Journal of Business Research, Elsevier, vol. 144(C), pages 975-986.
    10. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2002. "Reliable estimation of generalized linear mixed models using adaptive quadrature," Stata Journal, StataCorp LLC, vol. 2(1), pages 1-21, February.
    11. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2004. "Generalized multilevel structural equation modeling," Psychometrika, Springer;The Psychometric Society, vol. 69(2), pages 167-190, June.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:spr:joqcri:v:16:y:2000:i:2:d:10.1023_a:1007516622688. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.