IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v50y2021i11p2467-2480.html
   My bibliography  Save this article

The minimum Bayes factor hypothesis test for correlations and partial correlations

Author

Listed:
  • Fang Chen
  • Keying Ye
  • Min Wang

Abstract

In this paper, we follow the work [Held, L., and M. Ott. 2016. How the maximal evidence of p-values against point null hypotheses depends on sample size. The American Statistician 70 (4):335–41] and propose a sample-size adjusted minimum Bayes factor (minBF) for testing the presence of a correlation or a partial correlation. The proposed minBF is related to the two-sided p-value from the frequentist test and can be easily calculated using either a pocket calculator or spreadsheets, so long as the researcher is familiar with the frequentist paradigm. It turns out that the minBF increases with an increasing sample size, which implies that the maximal evidence of the two-sided p-value decreases with an increasing sample size. Simulation studies and two real-data applications are provided for illustrative purposes.

Suggested Citation

  • Fang Chen & Keying Ye & Min Wang, 2021. "The minimum Bayes factor hypothesis test for correlations and partial correlations," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 50(11), pages 2467-2480, June.
    • Handle: RePEc:taf:lstaxx:v:50:y:2021:i:11:p:2467-2480
    DOI: 10.1080/03610926.2019.1667397
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2019.1667397
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03610926.2019.1667397?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.

    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:lstaxx:v:50:y:2021:i:11:p:2467-2480. 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/lsta .

    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.