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An Additive Quantitative Randomized Response Model by Cluster Sampling
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 Title & Authors
An Additive Quantitative Randomized Response Model by Cluster Sampling
Lee, Gi-Sung;
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 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
Additive randomized response model;quantitative attribute;cluster sampling;efficiency;
 Language
Korean
 Cited by
 References
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