IDEAS home Printed from https://ideas.repec.org/a/taf/vjerxx/v108y2015i2p112-129.html
   My bibliography  Save this article

High-Achieving and Average Students' Reading Growth: Contrasting School and Summer Trajectories

Author

Listed:
  • Karen E. Rambo-Hernandez
  • D. Betsy McCoach

Abstract

Much is unknown about how initially high-achieving students grow academically, especially given the measurement issues inherent in assessing growth for the highest performing students. This study compared initially high-achieving and average students' growth in reading (in a cohort of third-grade students from 2,000 schools) over 3 years. Using a 3-level longitudinal piecewise hierarchical linear model, we contrasted summer and school year growth rates to examine initially high-achieving and average students' trajectories. Average students grew steeply during the school year and gained nothing over the summer. By contrast, initially high-achieving students grew more slowly than average students during school but maintained that same slower growth rate in the summer.

Suggested Citation

  • Karen E. Rambo-Hernandez & D. Betsy McCoach, 2015. "High-Achieving and Average Students' Reading Growth: Contrasting School and Summer Trajectories," The Journal of Educational Research, Taylor & Francis Journals, vol. 108(2), pages 112-129, February.
  • Handle: RePEc:taf:vjerxx:v:108:y:2015:i:2:p:112-129
    DOI: 10.1080/00220671.2013.850398
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00220671.2013.850398
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00220671.2013.850398?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Daniel McNeish & Denis Dumas, 2021. "A seasonal dynamic measurement model for summer learning loss," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(2), pages 616-642, April.

    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:taf:vjerxx:v:108:y:2015:i:2:p:112-129. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/vjer20 .

    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.