IDEAS home Printed from https://ideas.repec.org/a/sae/jedbes/v11y1986i4p293-303.html
   My bibliography  Save this article

Effect Size Standard Errors for the Non-Normal Non-Identically Distributed Case

Author

Listed:
  • Hoben Thomas

Abstract

Suppose there are k independent studies and for each study the experimental and control groups have been sampled from independent but essentially arbitrary populations. The problem is to construct a plausible standard error of the effect size mean (effect sizes are standardized experimental-control group mean differences) when given only minimal sample statistic information. Standard errors based on the sample standard error, or bootstrap, will typically be much too large and have very large variance. A normal theory estimator may prove practically useful in more general settings. Asymptotic distribution-free estimators are provided for two cases.

Suggested Citation

  • Hoben Thomas, 1986. "Effect Size Standard Errors for the Non-Normal Non-Identically Distributed Case," Journal of Educational and Behavioral Statistics, , vol. 11(4), pages 293-303, December.
    • Handle: RePEc:sae:jedbes:v:11:y:1986:i:4:p:293-303
    DOI: 10.3102/10769986011004293
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.3102/10769986011004293
    Download Restriction: no
    File URL: https://libkey.io/10.3102/10769986011004293?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
    ---><---

    More about this item

    Keywords

    Effect size; meta-analysis;

    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:sae:jedbes:v:11:y:1986:i:4:p:293-303. 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: 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.