IDEAS home Printed from https://ideas.repec.org/h/eme/csefzz/s1569-375920200000102004.html
   My bibliography  Save this book chapter

An Empirical Analysis on Students’ Cheating Behavior and Personality Traits in the Context of Fraud Triangle Factors

In: Contemporary Issues in Audit Management and Forensic Accounting

Author

Listed:
  • Ali Altug Bicer

Abstract

The aim of this study is to analyze the relationship between personality traits and students’ cheating behavior using the five-factor personality model and the fraud triangle factors. This chapter develops an evidential study that has the goal to determine the relationship between the students’ cheating behavior and personality traits by using fraud triangle factors. In this context, 251 surveys have been conducted on students of a foundation university located in Istanbul. As means of data collection, NEO – Five Factor Inventory and Academic Fraud Risk Factors have been used. Data have been analyzed by regression tree analysis. Risk and classification tables have been created before starting the study with a decision tree in which classification and regression trees algorithms were implemented. The results reveal that rationalization behind the cheating is the most important reason for students to copy and people who believed that they were extremely appropriate to copy were responsible ones when analyzed in terms of their personality traits. The results of this study contribute to the literature by discovering the characteristics of those who admit academic dishonesty and underlie the factors or predispositions for engaging in this behavior. For sure, three factors of the fraud triangle may have different levels of significance in this study; in addition, pressure is not associated with the cheating behavior.

Suggested Citation

  • Ali Altug Bicer, 2020. "An Empirical Analysis on Students’ Cheating Behavior and Personality Traits in the Context of Fraud Triangle Factors," Contemporary Studies in Economic and Financial Analysis, in: Contemporary Issues in Audit Management and Forensic Accounting, volume 102, pages 1-10, Emerald Group Publishing Limited.
  • Handle: RePEc:eme:csefzz:s1569-375920200000102004
    DOI: 10.1108/S1569-375920200000102004
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/S1569-375920200000102004/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/S1569-375920200000102004/full/epub?utm_source=repec&utm_medium=feed&utm_campaign=repec&title=10.1108/S1569-375920200000102004
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/S1569-375920200000102004/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/S1569-375920200000102004?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

    Keywords

    Fraud triangle; academic cheating; academic dishonesty; regression tree; personality traits; M49; C14; C35;
    All these keywords.

    JEL classification:

    • M49 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Other
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

    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:eme:csefzz:s1569-375920200000102004. 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: Emerald Support (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.