IDEAS home Printed from https://ideas.repec.org/a/taf/amstat/v73y2019is1p202-212.html
   My bibliography  Save this article

Moving Towards the Post p

Author

Listed:
  • Robert A. J. Matthews

Abstract

It is now widely accepted that the techniques of null hypothesis significance testing (NHST) are routinely misused and misinterpreted by researchers seeking insight from data. There is, however, no consensus on acceptable alternatives, leaving researchers with little choice but to continue using NHST, regardless of its failings. I examine the potential for the Analysis of Credibility (AnCred) to resolve this impasse. Using real-life examples, I assess the ability of AnCred to provide researchers with a simple but robust framework for assessing study findings that goes beyond the standard dichotomy of statistical significance/nonsignificance. By extracting more insight from standard summary statistics while offering more protection against inferential fallacies, AnCred may encourage researchers to move toward the post p

Suggested Citation

  • Robert A. J. Matthews, 2019. "Moving Towards the Post p," The American Statistician, Taylor & Francis Journals, vol. 73(S1), pages 202-212, March.
  • Handle: RePEc:taf:amstat:v:73:y:2019:i:s1:p:202-212
    DOI: 10.1080/00031305.2018.1543136
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00031305.2018.1543136
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00031305.2018.1543136?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. Del Fava, Emanuele & Wiśniowsk, Arkadiusz & Zagheni, Emilio, 2019. "Modelling International Migration Flows by Integrating Multiple Data Sources," SocArXiv cma5h, Center for Open Science.
    2. Miralinaghi, Mohammad & Seilabi, Sania E. & Chen, Sikai & Hsu, Yu-Ting & Labi, Samuel, 2020. "Optimizing the selection and scheduling of multi-class projects using a Stackelberg framework," European Journal of Operational Research, Elsevier, vol. 286(2), pages 508-522.
    3. Kuan, Seng How & Ghorbani, Yousef & Chieng, Sylvia, 2020. "Narrowing the gap between local standards and global best practices in bauxite mining: A case study in Malaysia," Resources Policy, Elsevier, vol. 66(C).
    4. Hassan, Kamrul & Hoque, Ariful & Wali, Muammer & Gasbarro, Dominic, 2020. "Islamic stocks, conventional stocks, and crude oil: Directional volatility spillover analysis in BRICS," Energy Economics, Elsevier, vol. 92(C).

    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:amstat:v:73:y:2019:i:s1:p:202-212. 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/UTAS20 .

    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.