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Sample Surveys With Sensitive Questions: A Nonrandomized Response Approach

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  • Tan, Ming T.
  • Tian, Guo-Liang
  • Tang, Man-Lai

Abstract

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Suggested Citation

  • Tan, Ming T. & Tian, Guo-Liang & Tang, Man-Lai, 2009. "Sample Surveys With Sensitive Questions: A Nonrandomized Response Approach," The American Statistician, American Statistical Association, vol. 63(1), pages 9-16.
  • Handle: RePEc:bes:amstat:v:63:i:1:y:2009:p:9-16
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    File URL: http://pubs.amstat.org/doi/abs/10.1198/tast.2009.0002
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    Cited by:

    1. Daniel Gingerich & Virginia Oliveros & Ana Corbacho & Mauricio Ruiz-Vega, 2015. "Corruption as a Self-Fulfilling Prophecy: Evidence from a Survey Experiment in Costa Rica," IDB Publications (Working Papers) 88334, Inter-American Development Bank.
    2. Guo-Liang Tian, 2014. "A new non-randomized response model: The parallel model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(4), pages 293-323, November.
    3. 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.
    4. Heiko Groenitz, 2014. "A new privacy-protecting survey design for multichotomous sensitive variables," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 77(2), pages 211-224, February.
    5. Heiko Groenitz, 2015. "Using prior information in privacy-protecting survey designs for categorical sensitive variables," Statistical Papers, Springer, vol. 56(1), pages 167-189, February.
    6. Liu, Yin & Tian, Guo-Liang, 2013. "A variant of the parallel model for sample surveys with sensitive characteristics," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 115-135.

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