IDEAS home Printed from https://ideas.repec.org/a/wly/camsys/v2y2006i1p1-49.html
   My bibliography  Save this article

Approaches to Parent Involvement for Improving the Academic Performance of Elementary School Age Children

Author

Listed:
  • Chad Nye
  • Herb Turner
  • Jamie Schwartz

Abstract

This Campbell systematic review's objective is to summarize the most dependable evidence on the effect of parental involvement intervention programs for improving the academic performance of elementary school age children. The most dependable evidence is defined as studies that include at least two groups and use random assignment to form a fair comparison between groups. 19 Randomised Controlled Trials met the inclusion criteria for the systematic review. The overall findings were that parent involvement has a positive and significant effect on children's overall academic performance. It is also clear that the effect is large enough to have practical implications for parents, practitioners, and policymakers (d= 0.45). The overall effect suggested that when parents participated in academic enrichment activities with their children outside of school, the benefits were manifest in improved academic performance in school. This result was striking when one considers that the median length of parent involvement was only 11 weeks. This review has uncovered compelling support for the use of a parent involvement program as a viable supplementary intervention to improve children's academic performance in school, and for the parent involvement component of the No Child Left Behind mandate.

Suggested Citation

  • Chad Nye & Herb Turner & Jamie Schwartz, 2006. "Approaches to Parent Involvement for Improving the Academic Performance of Elementary School Age Children," Campbell Systematic Reviews, John Wiley & Sons, vol. 2(1), pages 1-49.
    • Handle: RePEc:wly:camsys:v:2:y:2006:i:1:p:1-49
    DOI: 10.4073/csr.2006.4
    as

    Download full text from publisher

    File URL: https://doi.org/10.4073/csr.2006.4
    Download Restriction: no
    File URL: https://libkey.io/10.4073/csr.2006.4?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. Steven Glazerman & Dan M. Levy & David Myers, 2003. "Nonexperimental Versus Experimental Estimates of Earnings Impacts," The ANNALS of the American Academy of Political and Social Science, , vol. 589(1), pages 63-93, September.
    2. repec:mpr:mprres:3694 is not listed on IDEAS
    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. Ashrita Saran & Howard White & Kerry Albright & Jill Adona, 2020. "Mega‐map of systematic reviews and evidence and gap maps on the interventions to improve child well‐being in low‐ and middle‐income countries," Campbell Systematic Reviews, John Wiley & Sons, vol. 16(4), December.
    2. Jacobsen, Charlotte Bredahl & Koustrup, Cecilie & Sjö, Nina Madsen, 2024. "Attentive to learning? Supporting social workers’ monitoring of learning skills in children placed in foster care," Children and Youth Services Review, Elsevier, vol. 162(C).
    3. Adrien Bouguen & Kamilla Gumede & Marc Gurgand, 2015. "Parent's Participation, Involvement and Impact on Student Achievment: Evidence from a Randomized Evaluation in South Africa," PSE Working Papers halshs-01241957, HAL.
    4. Engell, Thomas & Løvstad, Anne Marte & Kirkøen, Benedicte & Ogden, Terje & Amlund Hagen, Kristine, 2021. "Exploring how intervention characteristics affect implementability: A mixed methods case study of common elements-based academic support in child welfare services," Children and Youth Services Review, Elsevier, vol. 129(C).
    5. Roland Fryer & Steven Levitt & John List, 2015. "Parental Incentives and Early Childhood Achievement: A Field Experiment in Chicago Heights," Framed Field Experiments 00587, The Field Experiments Website.
    6. Gelber, Alexander & Isen, Adam, 2013. "Children's schooling and parents' behavior: Evidence from the Head Start Impact Study," Journal of Public Economics, Elsevier, vol. 101(C), pages 25-38.
    7. Eric Bettinger & Nina Cunha & Guilherme Lichand & Ricardo Madeira, 2020. "Are the effects of informational interventions driven by salience?," ECON - Working Papers 350, Department of Economics - University of Zurich, revised May 2021.
    8. Stephen Lipscomb & Joshua Haimson & Albert Y. Liu & John Burghardt & David R. Johnson & Martha Thurlow, "undated". "Preparing for Life After High School: The Characteristics and Experiences of Youth in Special Education. Findings from the National Longitudinal Transition Study 2012. Volume 1: Comparisons with Other," Mathematica Policy Research Reports a16b0d64d0d04173b3289e0ff, Mathematica Policy Research.
    9. Alexander M. Gelber & Adam Isen, 2011. "Children's Schooling and Parents' Investment in Children: Evidence from the Head Start Impact Study," NBER Working Papers 17704, National Bureau of Economic Research, Inc.

    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. Anders Stenberg & Xavier Luna & Olle Westerlund, 2012. "Can adult education delay retirement from the labour market?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(2), pages 677-696, January.
    2. Denis Fougère & Nicolas Jacquemet, 2020. "Policy Evaluation Using Causal Inference Methods," SciencePo Working papers Main hal-03455978, HAL.
    3. Heinrich, Carolyn J. & Mueser, Peter R. & Troske, Kenneth & Jeon, Kyung-Seong & Kahvecioglu, Daver C., 2009. "New Estimates of Public Employment and Training Program Net Impacts: A Nonexperimental Evaluation of the Workforce Investment Act Program," IZA Discussion Papers 4569, Institute of Labor Economics (IZA).
    4. Kenneth Fortson & Natalya Verbitsky-Savitz & Emma Kopa & Philip Gleason, 2012. "Using an Experimental Evaluation of Charter Schools to Test Whether Nonexperimental Comparison Group Methods Can Replicate Experimental Impact Estimates," Mathematica Policy Research Reports 27f871b5b7b94f3a80278a593, Mathematica Policy Research.
    5. Jean Stockard, 2013. "Merging the accountability and scientific research requirements of the No Child Left Behind Act: using cohort control groups," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(4), pages 2225-2257, June.
    6. Stenberg, Anders, 2011. "Using longitudinal data to evaluate publicly provided formal education for low skilled," Economics of Education Review, Elsevier, vol. 30(6), pages 1262-1280.
    7. Marta Bengoa & Christopher Rick, 2020. "Chinese Hukou Policy and Rural-to-Urban Migrants’ Health: Evidence from Matching Methods," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 46(2), pages 224-259, April.
    8. David A. Freedman & Richard A. Berk, 2008. "Weighting Regressions by Propensity Scores," Evaluation Review, , vol. 32(4), pages 392-409, August.
    9. David A. Freedman, 2009. "Limits of Econometrics," International Econometric Review (IER), Econometric Research Association, vol. 1(1), pages 5-17, April.
    10. Kenneth Fortson & Philip Gleason & Emma Kopa & Natalya Verbitsky-Savitz, "undated". "Horseshoes, Hand Grenades, and Treatment Effects? Reassessing Bias in Nonexperimental Estimators," Mathematica Policy Research Reports 1c24988cd5454dd3be51fbc2c, Mathematica Policy Research.
    11. Cadot, Olivier & Fernandes, Ana M. & Gourdon, Julien & Mattoo, Aaditya, 2015. "Are the benefits of export support durable? Evidence from Tunisia," Journal of International Economics, Elsevier, vol. 97(2), pages 310-324.
    12. Fatoumata Nankoto Cissé, 2022. "How impact evaluation methods influence the outcomes of development projects? Evidence from a meta-analysis on decentralized solar nano projects," Documents de travail du Centre d'Economie de la Sorbonne 22008, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    13. repec:mpr:mprres:4565 is not listed on IDEAS
    14. Quỳnh Tiên Nguyên Lê & Morgan S. Polikoff, 2021. "Do English Language Development Curriculum Materials Matter for Students’ English Proficiency?," SAGE Open, , vol. 11(3), pages 21582440211, July.
    15. Hugh Sharma Waddington & Paul Fenton Villar & Jeffrey C. Valentine, 2023. "Can Non-Randomised Studies of Interventions Provide Unbiased Effect Estimates? A Systematic Review of Internal Replication Studies," Evaluation Review, , vol. 47(3), pages 563-593, June.
    16. Roberto Gabriele & Anna Giunta, 2012. "R&D Incentives: The Effectiveness Of A Place-Based Policy," Departmental Working Papers of Economics - University 'Roma Tre' 0169, Department of Economics - University Roma Tre.
    17. Zalewska, Anna (Ania) & Zhang, Yue, 2020. "Mutual funds' exits, financial crisis and Darwin," Journal of Corporate Finance, Elsevier, vol. 65(C).
    18. Fatoumata Nankoto Cissé, 2022. "How impact evaluation methods influence the outcomes of development projects? Evidence from a meta-analysis on decentralized solar nano projects," Post-Print halshs-03623394, HAL.
    19. Jared Coopersmith & Thomas D. Cook & Jelena Zurovac & Duncan Chaplin & Lauren V. Forrow, 2022. "Internal And External Validity Of The Comparative Interrupted Time‐Series Design: A Meta‐Analysis," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 41(1), pages 252-277, January.
    20. John Ammer & Sara B. Holland & David C. Smith & Francis E. Warnock, 2006. "Look at Me Now: What Attracts U.S. Shareholders?," NBER Working Papers 12500, National Bureau of Economic Research, Inc.
    21. Halldén, Karin & Stenberg, Anders, 2013. "The Relationship between Hours of Domestic Services and Female Earnings: Panel Register Data Evidence from a Reform," Working Paper Series 4/2013, Stockholm University, Swedish Institute for Social Research.

    More about this item

    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:wly:camsys:v:2:y:2006:i:1:p:1-49. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1891-1803 .

    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.