IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/h3bfr_v1.html
   My bibliography  Save this paper

Teaching Advanced Statistical Modeling for Evaluating Audit Samples: A Demonstration Using the Open-Source Software JASP

Author

Listed:
  • Derks, Koen

    (Nyenrode Business University)

  • Mensink, Lotte
  • de swart, jacques

Abstract

This tutorial-style demonstration provides accounting and auditing educators the opportunity to engage students in advanced statistical modeling using the free and open-source statistical software JASP. The goal of the demonstration is to give students hands-on experience in statistical modeling and explore how it can be applied in audit sampling to leverage all available information, thereby improving audit efficiency. Drawing from a realistic audit scenario and illustrative data, students fit various Bayesian models of increasing complexity and quantify their efficiency gains. JASP’s user-friendly point-and-click interface streamlines this process, allowing students to focus on understanding the models and interpreting the results without needing coding skills. Feedback on this demonstration has been positive, with students reporting increased knowledge of the practical benefits of statistical modeling in audit sampling.

Suggested Citation

  • Derks, Koen & Mensink, Lotte & de swart, jacques, 2025. "Teaching Advanced Statistical Modeling for Evaluating Audit Samples: A Demonstration Using the Open-Source Software JASP," OSF Preprints h3bfr_v1, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:h3bfr_v1
    DOI: 10.31219/osf.io/h3bfr_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/6862a74826bcd6a4d5e9911e/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/h3bfr_v1?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

    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:osf:osfxxx:h3bfr_v1. 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.