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A Note on a Simple and Practical Randomized Response Framework for Eliciting Sensitive Dichotomous and Quantitative Information

Author

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  • Carel F. W. Peeters

    (VU University Amsterdam and Utrecht University, Utrecht, The Netherlands, C.F.W.Peeters@uu.nl)

  • Gerty J. L. M. Lensvelt-Mulders

    (University for Humanistics, Utrecht, The Netherlands)

  • Karin Lasthuizen

    (VU University Amsterdam, The Netherlands)

Abstract

Many issues of interest to social scientists and policy makers are of a sensitive nature in the sense that they are intrusive, stigmatizing, or incriminating to the respondent. This results in refusals to cooperate or evasive cooperation in studies using self-reports. In a seminal article, Warner (1965) proposed to curb this problem by generating an artificial variability in responses to inoculate the individual meaning of answers to sensitive questions. This procedure was further developed and extended and came to be known as the randomized response (RR) technique. Here, the authors propose a unified treatment for eliciting sensitive binary as well as quantitative information with RR based on a model where the inoculating elements are provided for by the randomization device. The procedure is simple and the authors will argue that its implementation in a computer-assisted setting may have superior practical capabilities.

Suggested Citation

  • Carel F. W. Peeters & Gerty J. L. M. Lensvelt-Mulders & Karin Lasthuizen, 2010. "A Note on a Simple and Practical Randomized Response Framework for Eliciting Sensitive Dichotomous and Quantitative Information," Sociological Methods & Research, , vol. 39(2), pages 283-296, November.
    • Handle: RePEc:sae:somere:v:39:y:2010:i:2:p:283-296
    DOI: 10.1177/0049124110378099
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    References listed on IDEAS

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    1. Gerty J. L. M. Lensvelt‐Mulders & Peter G. M. Van Der Heijden & Olav Laudy & Ger Van Gils, 2006. "A validation of a computer‐assisted randomized response survey to estimate the prevalence of fraud in social security," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(2), pages 305-318, March.
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    Cited by:

    1. Marc Höglinger & Ben Jann & Andreas Diekmann, 2014. "Online Survey on "Exams and Written Papers". Documentation," University of Bern Social Sciences Working Papers 8, University of Bern, Department of Social Sciences, revised 06 Oct 2014.

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