IDEAS home Printed from https://ideas.repec.org/a/sae/evarev/v33y2009i4p311-334.html
   My bibliography  Save this article

Design and Analysis of the Community Youth Development Study Longitudinal Cohort Sample

Author

Listed:
  • Eric C. Brown

    (University of Washington, ricbrown@u.washington.edu)

  • John W. Graham

    (The Pennsylvania State University)

  • J. David Hawkins

    (University of Washington)

  • Michael W. Arthur

    (University of Washington)

  • Megan M. Baldwin

    (University of Washington)

  • Sabrina Oesterle

    (University of Washington)

  • John S. Briney

    (University of Washington)

  • Richard F. Catalano

    (University of Washington)

  • Robert D. Abbott

    (University of Washington)

Abstract

Communities That Care (CTC) is a prevention system designed to reduce adolescent substance use and delinquency through the selection of effective preventive interventions tailored to a community's specific profile of risk and protection. A community-randomized trial of CTC, the Community Youth Development Study, is currently being conducted in 24 communities across the United States. This article describes the rationale, multilevel analyses, and baseline comparability for the study's longitudinal cohort design. The cohort sample consists of 4,407 fifth- and sixth-grade students recruited in 2004 and 2005 and surveyed annually through ninth grade. Results of mixed-model ANOVAs indicated that students in CTC and control communities exhibited no significant differences (ps > .05) in baseline levels of student outcomes.

Suggested Citation

  • Eric C. Brown & John W. Graham & J. David Hawkins & Michael W. Arthur & Megan M. Baldwin & Sabrina Oesterle & John S. Briney & Richard F. Catalano & Robert D. Abbott, 2009. "Design and Analysis of the Community Youth Development Study Longitudinal Cohort Sample," Evaluation Review, , vol. 33(4), pages 311-334, August.
    • Handle: RePEc:sae:evarev:v:33:y:2009:i:4:p:311-334
    DOI: 10.1177/0193841X09337356
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0193841X09337356
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0193841X09337356?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. Arthur, Michael W. & Briney, John S. & Hawkins, J. David & Abbott, Robert D. & Brooke-Weiss, Blair L. & Catalano, Richard F., 2007. "Measuring risk and protection in communities using the Communities That Care Youth Survey," Evaluation and Program Planning, Elsevier, vol. 30(2), pages 197-211, May.
    2. Rosenbaum, Paul R., 2007. "Interference Between Units in Randomized Experiments," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 191-200, March.
    3. Kelvin K. W. Yau, 2001. "Multilevel Models for Survival Analysis with Random Effects," Biometrics, The International Biometric Society, vol. 57(1), pages 96-102, March.
    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. Michael L. Anderson & Fangwen Lu, 2017. "Learning to Manage and Managing to Learn: The Effects of Student Leadership Service," Management Science, INFORMS, vol. 63(10), pages 3246-3261, October.
    2. Giovanni Cerulli, 2014. "ntreatreg: a Stata module for estimation of treatment effects in the presence of neighborhood interactions," United Kingdom Stata Users' Group Meetings 2014 15, Stata Users Group.
    3. David Escamilla-Guerrero & Edward Kosack & Zachary Ward, 2023. "The Impact of Violence during the Mexican Revolution on Migration to the United States," NBER Working Papers 31531, National Bureau of Economic Research, Inc.
    4. Tang, Can & Zhao, Zhong, 2022. "Informal institution meets child development," MERIT Working Papers 2022-032, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    5. Han, Kevin & Basse, Guillaume & Bojinov, Iavor, 2024. "Population interference in panel experiments," Journal of Econometrics, Elsevier, vol. 238(1).
    6. Susan Athey & Dean Eckles & Guido W. Imbens, 2018. "Exact p-Values for Network Interference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(521), pages 230-240, January.
    7. Joseph Mawejje & Patrick McSharry, 2021. "The economic cost of conflict: Evidence from South Sudan," Review of Development Economics, Wiley Blackwell, vol. 25(4), pages 1969-1990, November.
    8. Cui, Ying & Liu, Hong & Zhao, Liqiu, 2019. "Mother's education and child development: Evidence from the compulsory school reform in China," Journal of Comparative Economics, Elsevier, vol. 47(3), pages 669-692.
    9. Chiba, Yasutaka, 2012. "A note on bounds for the causal infectiousness effect in vaccine trials," Statistics & Probability Letters, Elsevier, vol. 82(7), pages 1422-1429.
    10. Baruffaldi, Stefano H. & Marino, Marianna & Visentin, Fabiana, 2020. "Money to move: The effect on researchers of an international mobility grant," Research Policy, Elsevier, vol. 49(8).
    11. Sourafel Girma & Yundan Gong & Holger Görg & Sandra Lancheros, 2016. "Estimating direct and indirect effects of foreign direct investment on firm productivity in the presence of interactions between firms," World Scientific Book Chapters, in: MULTINATIONAL ENTERPRISES AND HOST COUNTRY DEVELOPMENT, chapter 12, pages 227-239, World Scientific Publishing Co. Pte. Ltd..
    12. Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2018. "Inference Under Covariate-Adaptive Randomization," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(524), pages 1784-1796, October.
    13. Wooyong Jo & Sarang Sunder & Jeonghye Choi & Minakshi Trivedi, 2020. "Protecting Consumers from Themselves: Assessing Consequences of Usage Restriction Laws on Online Game Usage and Spending," Marketing Science, INFORMS, vol. 39(1), pages 117-133, January.
    14. Nicolaj S{o}ndergaard Muhlbach & Mikkel Slot Nielsen, 2019. "Tree-based Synthetic Control Methods: Consequences of moving the US Embassy," Papers 1909.03968, arXiv.org, revised Feb 2021.
    15. van der Laan Mark J. & Petersen Maya & Zheng Wenjing, 2013. "Estimating the Effect of a Community-Based Intervention with Two Communities," Journal of Causal Inference, De Gruyter, vol. 1(1), pages 83-106, June.
    16. Zhaonan Qu & Ruoxuan Xiong & Jizhou Liu & Guido Imbens, 2021. "Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference," Papers 2107.12420, arXiv.org, revised Jun 2024.
    17. Ariel Boyarsky & Hongseok Namkoong & Jean Pouget-Abadie, 2023. "Modeling Interference Using Experiment Roll-out," Papers 2305.10728, arXiv.org, revised Aug 2023.
    18. Bryan S. Graham, 2019. "Network Data," Papers 1912.06346, arXiv.org.
    19. Richard Tawiah & Geoffrey J. McLachlan & Shu Kay Ng, 2020. "A bivariate joint frailty model with mixture framework for survival analysis of recurrent events with dependent censoring and cure fraction," Biometrics, The International Biometric Society, vol. 76(3), pages 753-766, September.
    20. Wu, Rongxin & Tan, Zhizhou & Lin, Boqiang, 2023. "Does carbon emission trading scheme really improve the CO2 emission efficiency? Evidence from China's iron and steel industry," Energy, Elsevier, vol. 277(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:sae:evarev:v:33:y:2009:i:4:p:311-334. 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.