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An efficient two-stage randomized response model under stratified random sampling

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  • Sally Abdelfatah
  • Reda Mazloum

Abstract

A two-stage randomized response model is extended to stratified random sampling in order to find out more efficient estimators of proportions built from sensitive questions, which respondents may not answer truthfully, in a population divided into homogeneous subgroups. In each subgroup, the respondents who have not answered the sensitive question in the first stage are requested in the second stage to either answer the sensitive question (second attempt then) or to draw a card indicating “yes” or “no”. In the latter case, they are required to report the outcome. Such extension provides a more efficient estimator of the proportion of the population having a given sensitive attribute than its counterpart in simple random sampling. The extended two-stage randomized response model is more efficient than the stratified randomized response model, where respondents must answer the sensitive question either in the first or in the second stage. Moreover, it increases the respondents’ cooperation. When strata weights are unknown, they are estimated by the double sampling method.

Suggested Citation

  • Sally Abdelfatah & Reda Mazloum, 2016. "An efficient two-stage randomized response model under stratified random sampling," Mathematical Population Studies, Taylor & Francis Journals, vol. 23(4), pages 222-238, October.
    • Handle: RePEc:taf:mpopst:v:23:y:2016:i:4:p:222-238
    DOI: 10.1080/08898480.2016.1222222
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    References listed on IDEAS

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    1. Jong-Min Kim & M. E. Elam, 2005. "A two-stage stratified Warner’s randomized response model using optimal allocation," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 61(1), pages 1-7, February.
    2. Sally Abdelfatah & Reda Mazloum, 2015. "Efficient Estimation in a Two-Stage Randomized Response Model," Mathematical Population Studies, Taylor & Francis Journals, vol. 22(4), pages 234-251, December.
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