IDEAS home Printed from https://ideas.repec.org/a/bes/amstat/v57y2003maugustp171-178.html
   My bibliography  Save this article

Confusion Over Measures of Evidence (ps) Versus Errors (alphas) in Classical Statistical Testing

Author

Listed:
  • Hubbard R.
  • Bayarri M.J.

Abstract

No abstract is available for this item.

Suggested Citation

  • Hubbard R. & Bayarri M.J., 2003. "Confusion Over Measures of Evidence (ps) Versus Errors (alphas) in Classical Statistical Testing," The American Statistician, American Statistical Association, vol. 57, pages 171-178, August.
  • Handle: RePEc:bes:amstat:v:57:y:2003:m:august:p:171-178
    as

    Download full text from publisher

    File URL: http://www.ingentaconnect.com/content/asa/tas/2003/00000057/00000003/art00005
    File Function: full text
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Andreas Schwab & Eric Abrahamson & William H. Starbuck & Fiona Fidler, 2011. "PERSPECTIVE---Researchers Should Make Thoughtful Assessments Instead of Null-Hypothesis Significance Tests," Organization Science, INFORMS, vol. 22(4), pages 1105-1120, August.
    2. Jesper W. Schneider, 2015. "Null hypothesis significance tests. A mix-up of two different theories: the basis for widespread confusion and numerous misinterpretations," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 411-432, January.
    3. Armstrong, J. Scott, 2007. "Significance tests harm progress in forecasting," International Journal of Forecasting, Elsevier, vol. 23(2), pages 321-327.
    4. repec:cup:judgdm:v:6:y:2011:i:8:p:843-856 is not listed on IDEAS
    5. William J. Matthews, 2011. "What would judgment and decision making research be like if we took a Bayesian approach to hypothesis testing?," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 6(8), pages 843-856, December.
    6. Sander Greenland, 2023. "Divergence versus decision P‐values: A distinction worth making in theory and keeping in practice: Or, how divergence P‐values measure evidence even when decision P‐values do not," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 50(1), pages 54-88, March.

    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:bes:amstat:v:57:y:2003:m:august:p:171-178. 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: Christopher F. Baum (email available below). General contact details of provider: http://www.amstat.org/publications/tas/index.cfm?fuseaction=main .

    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.