Skip to main content
Log in

Two-stage unrelated randomized response model to estimate the prevalence of a sensitive attribute

  • Original paper
  • Published:
Computational Statistics Aims and scope Submit manuscript

Abstract

The present work proposes a new two-stage unrelated randomized response model to estimate the mean number of individuals who possess a rare sensitive attribute in a given population by using Poisson probability distribution, when the proportion of rare non-sensitive unrelated attribute is known and unknown. The properties of the proposed model are examined. The variance of the proposed randomized response model smaller than Land et al. (Stat J Theor Appl Stat, 46(3):351–360, 2012) and Singh and Tarray (Model Assist Stat Appl, 10(2):129–138, 2015) to estimate sensitive characteristic under study. The proposed model provides a more efficient unbiased estimator of the mean number of individuals. The procedure also introduces the measure of privacy protection of respondents and compares randomized response models in terms of efficiency and privacy protection. Empirical illustrations are presented to support the theoretical results and suitable recommendations are put forward to the survey statisticians/practitioners.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Availability of data and material

Not applicable.

Code availability

Not applicable.

References

  • Anderson H (1977) Estimation of a proportion through randomized response. Int Stat Rev 44(2):213–217

    Article  MathSciNet  Google Scholar 

  • Bhargava M, Singh R (2002) On the efficiency comparison of certain randomized response strategies. Metrika 55(3):191–197

    Article  MathSciNet  Google Scholar 

  • Greenberg B, Abul-ela A-LA, Simmons WR, Horvitz DG (1969) The unrelated question randomized response model: Theoretical framework. J Am Stat Assoc 64(326):520–539

    Article  MathSciNet  Google Scholar 

  • Kumar A, Singh GN, Vishwakarma GK (2019) An efficient survey technique for estimating the proportion and sensitivity attributes in a dichotomous finite population. Proc Natl Acad Sci India Sect A Phys Sci 90:281–287

    Article  MathSciNet  CAS  Google Scholar 

  • Land M, Singh S, Sedory SA (2012) Estimation of a rare sensitive attribute using Poisson distribution. Stat J Theor Appl Stat 46(3):351–360

    MathSciNet  Google Scholar 

  • Lanke J (1976) On the degree of protection in randomized interviews. Int Stat Rev 44(2):197–203

    Article  MathSciNet  Google Scholar 

  • Lee GS, Hong KH, Son CK (2016) A stratified two-stage unrelated randomized response model for estimating a rare sensitive attribute based on the Poisson distribution. J Stat Theory Pract 10(2):239–262

    Article  MathSciNet  Google Scholar 

  • Lee GS, Uhm D, Kim JM (2013a) Estimation of a rare sensitive attribute in a stratified sample using Poisson distribution. Stat J Theor Appl Stat 47(3):575–589

    MathSciNet  Google Scholar 

  • Lee GS, Uhm D, Kim JM (2013b) Estimation of a rare sensitive attribute in probability proportional to size measure using Poisson distribution. Stat J Theor Appl Stat 48:685–709

    MathSciNet  Google Scholar 

  • Leysieffer FW, Warner SL (1976) Respondent jeopardy and optimal designs in randomized response models. J Am Stat Assoc 71(355):649–656

    Article  MathSciNet  Google Scholar 

  • Narjis G, Shabbir J (2022) A two-stage unrelated question randomized response model for estimating the rare sensitive parameter under Poisson distribution. Commun Stat Theory Methods 51(6):1836–1856

    Article  MathSciNet  Google Scholar 

  • Nayak TK (1994) On randomized response surveys for estimating a proportion. Commun Stat Theory Methods 23(11):3303–3321

    Article  MathSciNet  Google Scholar 

  • Singh GN, Kumar A, Vishwakarma GK (2020) Estimation of population mean of sensitive quantitative character using blank cards in randomized device. Commun Stat Simul Comput 49(6):1603–1630

    Article  MathSciNet  Google Scholar 

  • Singh HP, Tarray TA (2015) A revisit to the Singh, Horn, Singh and Mangat’s randomization device for estimating a rare sensitive attribute using Poisson distribution. Model Assist Stat Appl 10(2):129–138

    Google Scholar 

  • Singh S, Horn S, Singh R, Mangat NS (2003) On the use of modified randomization device for estimating the prevalence of a sensitive attribute. Statin Transit 6(4):515–522

    Google Scholar 

  • Solanki RS, Singh HP (2016) The improved estimation of ratio of two population proportions. Sociol Methods Res 45(1):158–174

    Article  MathSciNet  Google Scholar 

  • Vishwakarma GK, Singh N (2021) Computing the effect of measurement errors under additive scramble response for sensitive variable. J Comput Appl Math 395:113593

    Article  MathSciNet  Google Scholar 

  • Warner SL (1965) Randomized response: a survey technique for eliminating evasive answer bias. J Am Stat Assoc 60(309):63–69

    Article  CAS  PubMed  Google Scholar 

  • Zhimin H, Zaizai Y (2012) Measure of privacy in randomized response model. Qual Quant 46(4):1167–1180

    Article  Google Scholar 

Download references

Acknowledgements

Authors are thankful to Editor Prof. Cathy W. S. Chen, the editorial board, and learned referees for their valuable comments which have made a substantial improvement to bring the original manuscript to its present form.

Funding

No funding was received to carry out this research work.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed equally and approved the final manuscript.

Corresponding author

Correspondence to Amod Kumar.

Ethics declarations

Conflict of interest

The authors declare that there is no conflict and competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Vishwakarma, G.K., Kumar, A. & Kumar, N. Two-stage unrelated randomized response model to estimate the prevalence of a sensitive attribute. Comput Stat 39, 865–890 (2024). https://doi.org/10.1007/s00180-023-01326-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00180-023-01326-8

Keywords

Mathematics Subject Classification

Navigation