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Meta-Analysis of Randomized Response Research

Author

Listed:
  • Gerty J. L. M. Lensvelt-Mulders
  • Joop J. Hox
  • Peter G. M. van der Heijden
  • Cora J. M. Maas

    (Utrecht University, the Netherlands)

Abstract

This article discusses two meta-analyses on randomized response technique (RRT) studies, the first on 6 individual validation studies and the second on 32 comparative studies. The meta-analyses focus on the performance of RRTs compared to conventional question-and-answer methods. The authors use the percentage of incorrect answers as effect size for the individual validation studies and the standardized difference score (d-probit) as effect size for the comparative studies. Results indicate that compared to other methods, randomized response designs result in more valid data. For the individual validation studies, the mean percentage of incorrect answers for the RRT condition is .38; for the other conditions, it is .49. The more sensitive the topic under investigation, the higher the validity of RRT results. However, both meta-analyses have unexplained residual variances across studies, which indicates that RRTs are not completely under the control of the researcher.

Suggested Citation

  • Gerty J. L. M. Lensvelt-Mulders & Joop J. Hox & Peter G. M. van der Heijden & Cora J. M. Maas, 2005. "Meta-Analysis of Randomized Response Research," Sociological Methods & Research, , vol. 33(3), pages 319-348, February.
    • Handle: RePEc:sae:somere:v:33:y:2005:i:3:p:319-348
    DOI: 10.1177/0049124104268664
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    References listed on IDEAS

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    1. Johannes Landsheer & Peter Van Der Heijden & Ger Van Gils, 1999. "Trust and Understanding, Two Psychological Aspects of Randomized Response," Quality & Quantity: International Journal of Methodology, Springer, vol. 33(1), pages 1-12, February.
    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. Zhisheng Duan & Jinzhi Wang & Lin Huang, 2006. "Some Special Decentralized Control Problems In Continuous-Time Interconnected Systems," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 9(03), pages 277-286.
    2. Clarke, George, 2011. "Lying about firm performance: Evidence from a survey in Nigeria," MPRA Paper 35382, University Library of Munich, Germany.
    3. Bernard GAUTHIER & Frédéric LESNÉ, 2017. "Measuring corruption in presence of reticent respondents: Theory and Application," Working Papers P207, FERDI.
    4. Isabel Thielmann & Daniel W. Heck & Benjamin E. Hilbig, 2016. "Anonymity and incentives: An investigation of techniques to reduce socially desirable responding in the Trust Game," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 11(5), pages 527-536, September.
    5. Blume, Andreas & Lai, Ernest K. & Lim, Wooyoung, 2019. "Eliciting private information with noise: The case of randomized response," Games and Economic Behavior, Elsevier, vol. 113(C), pages 356-380.
    6. Shu-Hui Hsieh & Shen-Ming Lee & Chin-Shang Li & Su-Hao Tu, 2016. "An alternative to unrelated randomized response techniques with logistic regression analysis," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 25(4), pages 601-621, November.
    7. Rupa Chanda, 2008. "India And Services Outsourcing In Asia," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 53(03), pages 419-447.
    8. repec:cup:judgdm:v:11:y:2016:i:5:p:527-536 is not listed on IDEAS
    9. Sheabo Dessalegn, S., 2017. "Social capital and maternal health care use in rural Ethiopia," Other publications TiSEM bb0ec225-4ec3-4028-90d6-1, Tilburg University, School of Economics and Management.
    10. Clarke, George, 2012. "Do reticent managers lie during firm surveys?," MPRA Paper 37634, University Library of Munich, Germany.
    11. Qiu, Shi-Fang & Zou, G.Y. & Tang, Man-Lai, 2014. "Sample size determination for estimating prevalence and a difference between two prevalences of sensitive attributes using the non-randomized triangular design," Computational Statistics & Data Analysis, Elsevier, vol. 77(C), pages 157-169.
    12. Jensen, Nathan M & Rahman, Aminur, 2011. "The silence of corruption : identifying underreporting of business corruption through randomized response techniques," Policy Research Working Paper Series 5696, The World Bank.
    13. Shu-Hui Hsieh & Shen-Ming Lee & Su-Hao Tu, 2018. "Randomized response techniques for a multi-level attribute using a single sensitive question," Statistical Papers, Springer, vol. 59(1), pages 291-306, March.
    14. 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.
    15. Littrell, Jill & Lyons, Peter, 2010. "Pediatric Bipolar Disorder: Part I -- Is it related to classical Bipolar," Children and Youth Services Review, Elsevier, vol. 32(7), pages 945-964, July.

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