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The Three-Stage Cluster Randomized Response Model for Obtaining Sensitive Information

  • Lee, Gi Sung (Division of Computer and Information Science, Woosuk University) ;
  • Hong, Ki Hak (Department of Computer Science, Dongshin University) ;
  • Son, Chang Kyoon (Department of Computer Science, Dongshin University) ;
  • Jung, Young Mee (Department of Statistics, Dongguk University)
  • Published : 2003.04.01

Abstract

In this study, we systemize the theoretical validity for applying RRM to three-stage cluster sampling method and derive the estimate and it's variance of sensitive parameter. We derive the minimum variance form under the optimal values of the subsample sizes when the costs are fixed. Under the some given precision, we obtain the optimal values of the subsample sizes and derive the minimum cost form by using them. We apply the three-stage cluster RRM to field survey and suggest some necessary points for practical use.

Keywords

References

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