IDEAS home Printed from https://ideas.repec.org/a/sae/jedbes/v20y1995i3p287-306.html
   My bibliography  Save this article

The Use of Fisher’s Z in Schmidt-Hunter–type Meta-Analyses

Author

Listed:
  • Kenneth S. Law

Abstract

Over the past few years, there has been some dispute as to whether Fisher’s Z or the Pearson correlation (r) should be used in Schmidt-Hunter–type meta-analyses. The two major reasons that Z has not been recommended are the possibly larger positive bias in estimating mean population correlation (M Ï ) and the problem of estimating the standard deviation of population correlations (SD Ï ). In this study, two new methods of estimating M Ï and SD Ï by using Z are suggested and tested by Monte Carlo simulations. The results show no consistent advantage to using r instead of Z or vice versa in estimating both M Ï and SD Ï In fact, the estimated M Ï and SD Ï from all three methods were highly similar and were almost identical when rounded off.

Suggested Citation

  • Kenneth S. Law, 1995. "The Use of Fisher’s Z in Schmidt-Hunter–type Meta-Analyses," Journal of Educational and Behavioral Statistics, , vol. 20(3), pages 287-306, September.
  • Handle: RePEc:sae:jedbes:v:20:y:1995:i:3:p:287-306
    DOI: 10.3102/10769986020003287
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.3102/10769986020003287
    Download Restriction: no

    File URL: https://libkey.io/10.3102/10769986020003287?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
    ---><---

    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:20:y:1995:i:3:p:287-306. 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.