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An Additive Quantitative Randomized Response Model by Cluster Sampling

  • Lee, Gi-Sung (Department of Children Welfare, Woosuk University)
  • Received : 2012.03.27
  • Accepted : 2012.04.30
  • Published : 2012.06.30

Abstract

For a sensitive survey in which the population is comprised of several clusters with a quantitative attribute, we present an additive quantitative randomized response model by cluster sampling that adapts a two-stage cluster sampling instead of a simple random sample based on Himmelfarb-Edgell's additive quantitative attribute model and Gjestvang-Singh's one. We also derive optimum values for the number of 1st stage clusters and the optimum values of observation units in a 2nd stage cluster under the condition of minimizing the variance given constant cost. We can see that Himmelfarb-Edgell's model is more efficient than Gjestvang-Singh's model under the condition of cluster sampling.

Keywords

References

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