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A Critical Evaluation of the Randomized Response Method

Author

Listed:
  • U. N. UMESH

    (Washington State University)

  • ROBERT A. PETERSON

    (University of Texas at Austin)

Abstract

Warner (1965) introduced the Randomized Response Method (RRM) 20 years ago. This method has been advocated as a useful tool in eliciting sensitive information. Much of the early research focused on various parameter estimation methods. This article provides a comprehensive review of applications of the randomized response method with emphasis on recent publications, identifies issues now being studied, and suggests future research directions. As such, the article addresses method validation, respondent jeopardy, and new applications. In so doing, the method is considered in the broad context of obtaining responses to sensitive questions. Judging by the number of articles published, randomized response method continues to be of interest in numerous and diverse disciplines.

Suggested Citation

  • U. N. Umesh & Robert A. Peterson, 1991. "A Critical Evaluation of the Randomized Response Method," Sociological Methods & Research, , vol. 20(1), pages 104-138, August.
    • Handle: RePEc:sae:somere:v:20:y:1991:i:1:p:104-138
    DOI: 10.1177/0049124191020001004
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    References listed on IDEAS

    as
    1. Peterson, Robert A. & Kerin, Roger A., 1980. "Household income data reports in mail surveys," Journal of Business Research, Elsevier, vol. 8(3), pages 301-313, September.
    2. Buchman, Ta & Tracy, Ja, 1982. "Obtaining Responses To Sensitive Questions - Conventional Questionnaire Versus Randomized-Response Technique," Journal of Accounting Research, Wiley Blackwell, vol. 20(1), pages 263-271.
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    Cited by:

    1. Kuo-Chung Huang, 2010. "Unbiased estimators of mean, variance and sensitivity level for quantitative characteristics in finite population sampling," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 71(3), pages 341-352, May.
    2. John, Leslie K. & Loewenstein, George & Acquisti, Alessandro & Vosgerau, Joachim, 2018. "When and why randomized response techniques (fail to) elicit the truth," Organizational Behavior and Human Decision Processes, Elsevier, vol. 148(C), pages 101-123.
    3. Kundt, Thorben, 2014. "Applying “Benford’s law” to the Crosswise Model: Findings from an online survey on tax evasion," Working Paper 148/2014, Helmut Schmidt University, Hamburg.
    4. Stocké, Volker & Hunkler, Christian, 2004. "Die angemessene Erfassung der Stärke und Richtung von Anreizen durch soziale Erwünschtheit," Sonderforschungsbereich 504 Publications 04-16, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    5. Stocké, Volker & Hunkler, Christian, 2004. "Die angemessene Erfassung der Stärke und Richtung von Anreizen durch soziale Erwünschtheit," Papers 04-16, Sonderforschungsbreich 504.
    6. Clifford Nowell & Doug Laufer, 1997. "Undergraduate Student Cheating in the Fields of Business and Economics," The Journal of Economic Education, Taylor & Francis Journals, vol. 28(1), pages 3-12, March.

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