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Kuk’s Model Adjusted for Protection and Efficiency

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  • Shu-Ching Su
  • Stephen A. Sedory
  • Sarjinder Singh

Abstract

In this article, we adjust the Kuk randomized response model for collecting information on a sensitive characteristic for increased protection and efficiency by making use of forced “yes†and forced “no†responses. We first describe Kuk’s model and then the proposed adjustment to Kuk’s model. Next, by means of a simulation study, we compare the efficiency of the adjusted Kuk model relative to the pioneer Kuk model while maintaining at least equal protection of respondents.

Suggested Citation

  • Shu-Ching Su & Stephen A. Sedory & Sarjinder Singh, 2015. "Kuk’s Model Adjusted for Protection and Efficiency," Sociological Methods & Research, , vol. 44(3), pages 534-551, August.
    • Handle: RePEc:sae:somere:v:44:y:2015:i:3:p:534-551
    DOI: 10.1177/0049124114554459
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    References listed on IDEAS

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    1. Lucio Barabesi & Giancarlo Diana & Pier Perri, 2013. "Design-based distribution function estimation for stigmatized populations," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 76(7), pages 919-935, October.
    2. Christopher R. Gjestvang & Sarjinder Singh, 2006. "A new randomized response model," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 68(3), pages 523-530, June.
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