IDEAS home Printed from https://ideas.repec.org/a/taf/edecon/v25y2017i3p251-265.html
   My bibliography  Save this article

Comparing standard deviation effects across contexts

Author

Listed:
  • Ben Ost
  • Anuj Gangopadhyaya
  • Jeffrey C. Schiman

Abstract

Studies using tests scores as the dependent variable often report point estimates in student standard deviation units. We note that a standard deviation is not a standard unit of measurement since the distribution of test scores can vary across contexts. As such, researchers should be cautious when interpreting differences in the numerical size of point estimates when comparing across contexts. We empirically assess the importance of this issue both within the United States and internationally.

Suggested Citation

  • Ben Ost & Anuj Gangopadhyaya & Jeffrey C. Schiman, 2017. "Comparing standard deviation effects across contexts," Education Economics, Taylor & Francis Journals, vol. 25(3), pages 251-265, May.
    • Handle: RePEc:taf:edecon:v:25:y:2017:i:3:p:251-265
    DOI: 10.1080/09645292.2016.1203868
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09645292.2016.1203868
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09645292.2016.1203868?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. M. Perez-Alvarez & M. Favara, 2023. "Children having children: early motherhood and offspring human capital in India," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(3), pages 1573-1606, July.
    2. Alex Hollingsworth & Mike Huang & Ivan J. Rudik & Nicholas J. Sanders, 2020. "A Thousand Cuts: Cumulative Lead Exposure Reduces Academic Achievement," NBER Working Papers 28250, National Bureau of Economic Research, Inc.
    3. Jeffrey Penney, 2023. "Cautions when normalizing the dependent variable in a regression as a z‐score," Economic Inquiry, Western Economic Association International, vol. 61(2), pages 402-412, April.
    4. Sam Sims & Jake Anders & Matthew Inglis & Hugues Lortie-Forgues & Ben Styles & Ben Weidmann, 2023. "Experimental education research: rethinking why, how and when to use random assignment," CEPEO Working Paper Series 23-07, UCL Centre for Education Policy and Equalising Opportunities, revised Aug 2023.

    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:edecon:v:25:y:2017:i:3:p:251-265. 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/CEDE20 .

    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.