IDEAS home Printed from https://ideas.repec.org/a/sae/somere/v52y2023i1p389-411.html

Cheater Detection Using the Unrelated Question Model

Author

Listed:
  • Fabiola Reiber
  • Harrison Pope
  • Rolf Ulrich

Abstract

Randomized response techniques (RRTs) are useful survey tools for estimating the prevalence of sensitive issues, such as the prevalence of doping in elite sports. One type of RRT, the unrelated question model (UQM), has become widely used because of its psychological acceptability for study participants and its favorable statistical properties. One drawback of this model, however, is that it does not allow for detecting cheaters—individuals who disobey the survey instructions and instead give self-protecting responses. In this article, we present refined versions of the UQM designed to detect the prevalence of cheating responses. We provide explicit formulas to calculate the parameters of these refined UQM versions and show how the empirical adequacy of these versions can be tested. The Appendices contain R-code for all necessary calculations.

Suggested Citation

  • Fabiola Reiber & Harrison Pope & Rolf Ulrich, 2023. "Cheater Detection Using the Unrelated Question Model," Sociological Methods & Research, , vol. 52(1), pages 389-411, February.
    • Handle: RePEc:sae:somere:v:52:y:2023:i:1:p:389-411
    DOI: 10.1177/0049124120914919
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0049124120914919
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0049124120914919?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
    ---><---

    References listed on IDEAS

    as
    1. Feth, Sascha & Frenger, Monika & Pitsch, Werner & Schmelzeisen, Patrick, 2017. "Cheater Detection for Randomized Response-Techniques: Derivation, Analyses and Applications," Schriften des Europäischen Instituts für Sozioökonomie e.V., European Institute for Socioeconomics (EIS), Saarbrücken, volume 12, number 12.
    2. Arijit Chaudhuri & Tasos C. Christofides, 2013. "Indirect Questioning in Sample Surveys," Springer Books, Springer, edition 127, number 978-3-642-36276-7, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Usman Shahzad & Ishfaq Ahmad & Nadia H. Al-Noor & Soofia Iftikhar & A. H. Abd Ellah & Troon J. Benedict, 2022. "Särndal Approach and Separate Type Quantile Robust Regression Type Mean Estimators for Nonsensitive and Sensitive Variables in Stratified Random Sampling," Journal of Mathematics, John Wiley & Sons, vol. 2022(1).
    2. Khadiga H. A. Sayed & Maarten J. L. F. Cruyff & Peter G. M. Heijden, 2024. "Modeling Evasive Response Bias in Randomized Response: Cheater Detection Versus Self-protective No-Saying," Psychometrika, Springer;The Psychometric Society, vol. 89(4), pages 1261-1279, December.
    3. Julia Meisters & Adrian Hoffmann & Jochen Musch, 2024. "A New Approach to Detecting Cheating in Sensitive Surveys: The Cheating Detection Triangular Model," Sociological Methods & Research, , vol. 53(1), pages 328-368, February.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:sae:somere:v:52:y:2023:i:1:p:389-411. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: SAGE Publications (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.