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http://dx.doi.org/10.5351/KJAS.2014.27.2.239

An Additive Stratified Quantitative Attribute Randomized Response Model  

Lee, Gi-Sung (Department of Children Welfare, Woosuk University)
Ahn, Seung-Chul (Department of Mathematics Education, Woosuk University)
Hong, Ki-Hak (Department of Computer Science, Dongshin University)
Son, Chang-Kyoon (Department of Information & Statistics Science, Dongguk University)
Publication Information
The Korean Journal of Applied Statistics / v.27, no.2, 2014 , pp. 239-247 More about this Journal
Abstract
For a sensitive survey in which the population is composed by several strata with quantitative attributes, we present an additive stratified quantitative attribute randomized response model which applied stratified random sampling instead of simple random sampling to the models of Himmelfarb-Edgell's additive quantitative attribute model and Gjestvang-Singh's. We also establish theoretical grounds to estimate the stratum mean of sensitive quantitative attributes as well as the over all mean. We deal with the proportional and optimal allocation problems in each suggested model and compare the relative efficiency of the suggested two models; subsequently, Himmelfarb-Edgell's model is more efficient than Gjestvang-Singh's model under the condition of stratified random sampling.
Keywords
Additive randomized response model; quantitative attribute; stratified sampling; sample allocation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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