IDEAS home Printed from https://ideas.repec.org/a/sae/anname/v602y2005i1p82-117.html
   My bibliography  Save this article

What Has Been Learned from Group-Based Trajectory Modeling? Examples from Physical Aggression and Other Problem Behaviors

Author

Listed:
  • Daniel S. Nagin

    (Heinz School, Carnegie Mellon University.)

  • Richard E. Tremblay

    (Research Unit on Children's Psychosocial Maladjustment at the University of Montreal; Utrecht University in the Netherlands; Centre of Excellence for Early Child Development)

Abstract

The focus of this article is group-based trajectory modeling. Its purpose is threefold. The first is to clarify the proper statistical interpretation of a trajectory group. The second is to summarize some key findings on the developmental course of aggression and other problem behaviors that have emerged from the application of group-based trajectory models and that in the authors' judgment are important to the fields of developmental criminology and developmental psychopathology. The third is to lay out some guidelines on the types of problems for which use of group-based trajectory modeling may be particularly productive.

Suggested Citation

  • Daniel S. Nagin & Richard E. Tremblay, 2005. "What Has Been Learned from Group-Based Trajectory Modeling? Examples from Physical Aggression and Other Problem Behaviors," The ANNALS of the American Academy of Political and Social Science, , vol. 602(1), pages 82-117, November.
    • Handle: RePEc:sae:anname:v:602:y:2005:i:1:p:82-117
    DOI: 10.1177/0002716205280565
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0002716205280565
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0002716205280565?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. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    2. William Meredith & John Tisak, 1990. "Latent curve analysis," Psychometrika, Springer;The Psychometric Society, vol. 55(1), pages 107-122, March.
    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. D. Wayne Osgood, 2005. "Making Sense of Crime and the Life Course," The ANNALS of the American Academy of Political and Social Science, , vol. 602(1), pages 196-211, November.
    2. Alfred Blumstein, 2005. "An Overview of the Symposium and Some Next Steps," The ANNALS of the American Academy of Political and Social Science, , vol. 602(1), pages 242-258, November.
    3. Daniel S. Nagin & Richard E. Tremblay, 2005. "Further Reflections on Modeling and Analyzing Developmental Trajectories: A Response to Maughan and Raudenbush," The ANNALS of the American Academy of Political and Social Science, , vol. 602(1), pages 145-154, November.
    4. Barbara Maughan, 2005. "Developmental Trajectory Modeling: A View from Developmental Psychopathology," The ANNALS of the American Academy of Political and Social Science, , vol. 602(1), pages 118-130, November.
    5. Stephen W. Raudenbush, 2005. "How Do We Study “What Happens Next†?," The ANNALS of the American Academy of Political and Social Science, , vol. 602(1), pages 131-144, November.

    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. Kemptner, Daniel & Tolan, Songül, 2018. "The role of time preferences in educational decision making," Economics of Education Review, Elsevier, vol. 67(C), pages 25-39.
    2. Johan Oud & Manuel Voelkle, 2014. "Do missing values exist? Incomplete data handling in cross-national longitudinal studies by means of continuous time modeling," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3271-3288, November.
    3. Christelis, Dimitris & Dobrescu, Loretti I. & Motta, Alberto, 2020. "Early life conditions and financial risk-taking in older age," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    4. Michelle Sheran Sylvester, 2007. "The Career and Family Choices of Women: A Dynamic Analysis of Labor Force Participation, Schooling, Marriage and Fertility Decisions," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 10(3), pages 367-399, July.
    5. Insoo Cho & Peter F. Orazem, 2021. "How endogenous risk preferences and sample selection affect analysis of firm survival," Small Business Economics, Springer, vol. 56(4), pages 1309-1332, April.
    6. Yih-Ing Hser & Haikang Shen & Chih-Ping Chou & Stephen C. Messer & M. Douglas Anglin, 2001. "Analytic Approaches for Assessing Long-Term Treatment Effects," Evaluation Review, , vol. 25(2), pages 233-262, April.
    7. Elena Casquel & Antoni Cunyat, "undated". "The Welfare Cost of Business Cycles in an Economy with Nonclearing Markets," Working Papers 2005-19, FEDEA.
    8. Brigitte Dormont & Denis Fougère & Ana Prieto, 2001. "L'effet de l'allocation unique dégressive sur la reprise d'emploi," Économie et Statistique, Programme National Persée, vol. 343(1), pages 3-28.
    9. Hoffman, Mitchell & Burks, Stephen V., 2017. "Worker Overconfidence: Field Evidence and Implications for Employee Turnover and Returns from Training," IZA Discussion Papers 10794, Institute of Labor Economics (IZA).
    10. John Cawley & James Heckman & Edward Vytlacil, 1998. "Meritocracy in America: An Examination of Wages Within and Across Occupations," NBER Working Papers 6446, National Bureau of Economic Research, Inc.
    11. Fevang, Elisabeth & Hardoy, Inés & Røed, Knut, 2013. "Getting Disabled Workers Back to Work: How Important Are Economic Incentives?," IZA Discussion Papers 7137, Institute of Labor Economics (IZA).
    12. Kai Hong & Peter A. Savelyev & Kegon T. K. Tan, 2020. "Understanding the Mechanisms Linking College Education with Longevity," Journal of Human Capital, University of Chicago Press, vol. 14(3), pages 371-400.
    13. Patrick Arni & Rafael Lalive & Jan C. Van Ours, 2013. "How Effective Are Unemployment Benefit Sanctions? Looking Beyond Unemployment Exit," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(7), pages 1153-1178, November.
    14. Jean-Pierre Florens & Anna Simoni, 2021. "Revisiting Identification Concepts in Bayesian Analysis," Annals of Economics and Statistics, GENES, issue 144, pages 1-38.
    15. Belzil, Christian & Bognanno, Michael & Poinas, François, 2012. "Promotion Determinants in Corporate Hierarchies: An Examination of Fast Tracks and Functional Area," TSE Working Papers 12-348, Toulouse School of Economics (TSE).
    16. Reize, Frank, 2000. "Leaving unemployment for self-employment: a discrete duration analysis of determinants and stability of self-employment among former unemployed," ZEW Discussion Papers 00-26, ZEW - Leibniz Centre for European Economic Research.
    17. Wrohlich, Katharina, 2006. "Labor Supply and Child Care Choices in a Rationed Child Care Market," IZA Discussion Papers 2053, Institute of Labor Economics (IZA).
    18. Albanese, Andrea & Picchio, Matteo & Ghirelli, Corinna, 2020. "Timed to Say Goodbye: Does Unemployment Benefit Eligibility Affect Worker Layoffs?," Labour Economics, Elsevier, vol. 65(C).
    19. Stijn Baert & Bas van der Klaauw & Gijsbert van Lomwel, 2018. "The effectiveness of medical and vocational interventions for reducing sick leave of self‐employed workers," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 139-152, February.
    20. Franz, Wolfgang & Zimmermann, Volker, 1999. "Mobilität nach der beruflichen Ausbildung: Eine empirische Studie für Westdeutschland," ZEW Discussion Papers 99-21, ZEW - Leibniz Centre for European Economic Research.

    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:sae:anname:v:602:y:2005:i:1:p:82-117. 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: SAGE Publications (email available below). General contact details of provider: .

    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.