IDEAS home Printed from https://ideas.repec.org/a/eee/cysrev/v32y2010i4p506-519.html
   My bibliography  Save this article

A meta-analysis of the effects of early developmental prevention programs in at-risk populations on non-health outcomes in adolescence

Author

Listed:
  • Manning, Matthew
  • Homel, Ross
  • Smith, Christine

Abstract

We present the results of a meta-analytic review of early developmental prevention programs (children aged 0-5: structured preschool programs, center-based developmental day care, home visitation, family support services and parental education) delivered to at-risk populations on non-health outcomes during adolescence (educational success, cognitive development, social-emotional development, deviance, social participation, involvement in criminal justice, and family well-being). This review improves on previous meta-analyses because it includes a more comprehensive set of adolescent outcomes, it focuses on measures that are psychometrically valid, and it includes a more detailed analysis of program moderator effects. Seventeen studies, based on eleven interventions (all US-based) met the ten criteria for inclusion into the analysis. The mean effect size across all programs and outcomes was 0.313, equivalent to a 62% higher mean score for an intervention group than for a control group. The largest effect was for educational success during adolescence (effect size 0.53) followed by social deviance (0.48), social participation (0.37), cognitive development (0.34), involvement in criminal justice (0.24), family well-being (0.18), and social-emotional development (0.16). Programs that lasted longer than three years were associated with larger sample means than programs that were longer than one year but shorter than three years. More intense programs (those with more than 500 sessions per participant) also had larger means than less intense programs. There was a marginally significant trend for programs with a follow-through component into the early primary school years (e.g. preschool to Grade 3) to have more positive effects than programs without a follow-through. We conclude that the impact of well-conducted early development programs on quality of life in adolescence can be substantial for social policy purposes.

Suggested Citation

  • Manning, Matthew & Homel, Ross & Smith, Christine, 2010. "A meta-analysis of the effects of early developmental prevention programs in at-risk populations on non-health outcomes in adolescence," Children and Youth Services Review, Elsevier, vol. 32(4), pages 506-519, April.
    • Handle: RePEc:eee:cysrev:v:32:y:2010:i:4:p:506-519
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0190-7409(09)00313-2
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. James J. Heckman & Jora Stixrud & Sergio Urzua, 2006. "The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 411-482, July.
    2. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    3. Hertzman, C. & Wiens, M., 1996. "Child development and long-term outcomes: A population health perspective and summary of successful interventions," Social Science & Medicine, Elsevier, vol. 43(7), pages 1083-1095, October.
    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. Arteaga, Irma & Chen, Chin-Chih & Reynolds, Arthur J., 2010. "Childhood predictors of adult substance abuse," Children and Youth Services Review, Elsevier, vol. 32(8), pages 1108-1120, August.

    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. Bonhomme, Stphane & Robin, Jean-Marc, 2009. "Consistent noisy independent component analysis," Journal of Econometrics, Elsevier, vol. 149(1), pages 12-25, April.
    2. Scott A. Imberman, 2011. "Achievement and Behavior in Charter Schools: Drawing a More Complete Picture," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 416-435, May.
    3. Banai, Reza, 2010. "Evaluation of land use-transportation systems with the Analytic Network Process," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(1), pages 85-112.
    4. Giorgio Vittadini & Giuseppe Folloni & Caterina Sturaro, 2022. "The Development of Cognitive and Noncognitive Skills in Students in the Autonomous Province of Trento," Economies, MDPI, vol. 10(7), pages 1-17, July.
    5. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde, 2009. "Homo Reciprocans: Survey Evidence on Behavioural Outcomes," Economic Journal, Royal Economic Society, vol. 119(536), pages 592-612, March.
    6. Pishchulov, Grigory & Trautrims, Alexander & Chesney, Thomas & Gold, Stefan & Schwab, Leila, 2019. "The Voting Analytic Hierarchy Process revisited: A revised method with application to sustainable supplier selection," International Journal of Production Economics, Elsevier, vol. 211(C), pages 166-179.
    7. Seung-Jin Han & Won-Jae Lee & So-Hee Kim & Sang-Hoon Yoon & Hyunwoong Pyun, 2022. "Assessing Expected Long-term Benefits for the Olympic Games: Delphi-AHP Approach from Korean Olympic Experts," SAGE Open, , vol. 12(4), pages 21582440221, December.
    8. David Bravo Urrutia & Sergio Urzúa & Claudia Sanhueza, 2007. "Is There Labor Market Discrimination Among Professionals In Chile? Lawyers, Doctors And Business-People," Working Papers wp264, University of Chile, Department of Economics.
    9. Hendrik Jürges & Luca Stella & Sameh Hallaq & Alexandra Schwarz, 2022. "Cohort at risk: long-term consequences of conflict for child school achievement," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(1), pages 1-43, January.
    10. Seyed Rakhshan & Ali Kamyad & Sohrab Effati, 2015. "Ranking decision-making units by using combination of analytical hierarchical process method and Tchebycheff model in data envelopment analysis," Annals of Operations Research, Springer, vol. 226(1), pages 505-525, March.
    11. Oswald, Yvonne & Backes-Gellner, Uschi, 2014. "Learning for a bonus: How financial incentives interact with preferences," Journal of Public Economics, Elsevier, vol. 118(C), pages 52-61.
    12. V. Srinivasan & G. Shainesh & Anand K. Sharma, 2015. "An approach to prioritize customer-based, cost-effective service enhancements," The Service Industries Journal, Taylor & Francis Journals, vol. 35(14), pages 747-762, October.
    13. Mónica García-Melón & Blanca Pérez-Gladish & Tomás Gómez-Navarro & Paz Mendez-Rodriguez, 2016. "Assessing mutual funds’ corporate social responsibility: a multistakeholder-AHP based methodology," Annals of Operations Research, Springer, vol. 244(2), pages 475-503, September.
    14. Marco Caliendo & Stefan Tübbicke, 2020. "New evidence on long-term effects of start-up subsidies: matching estimates and their robustness," Empirical Economics, Springer, vol. 59(4), pages 1605-1631, October.
    15. Sauermann, Jan, 2015. "Worker Reciprocity and the Returns to Training: Evidence from a Field Experiment," IZA Discussion Papers 9179, Institute of Labor Economics (IZA).
    16. 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.
    17. Hendrik Thiel & Stephan L. Thomsen, 2015. "Individual Poverty Paths and the Stability of Control-Perception," SOEPpapers on Multidisciplinary Panel Data Research 794, DIW Berlin, The German Socio-Economic Panel (SOEP).
    18. Zhao, Chunkai & Chen, Boou & Song, Zhiyong, 2024. "School nutritious feeding and cognitive abilities of students in poverty: Evidence from the nutrition improvement program in China," Children and Youth Services Review, Elsevier, vol. 159(C).
    19. Thomas Pave Sohnesen, 2019. "Are you what you consume?: Impact of food, soft drinks, and coffee on cognitive and non-cognitive test scores," WIDER Working Paper Series wp-2019-117, World Institute for Development Economic Research (UNU-WIDER).
    20. Estrellado, Emmanuel & Charoensilp, Pimmada & Yamada, Shoko, 2023. "The effects of game-based soft skills training: A quasi-experiment with Ethiopian garment workers," International Journal of Educational Development, Elsevier, vol. 101(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:32:y:2010:i:4:p:506-519. 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.