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http://dx.doi.org/10.5351/KJAS.2012.25.3.447

An Additive Quantitative Randomized Response Model by Cluster Sampling  

Lee, Gi-Sung (Department of Children Welfare, Woosuk University)
Publication Information
The Korean Journal of Applied Statistics / v.25, no.3, 2012 , pp. 447-456 More about this Journal
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;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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