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http://dx.doi.org/10.5351/KJAS.2010.23.3.533

Three-Stage Strati ed Randomize Response Model  

Kim, Jong-Min (Statistics Discipline, University of Minnesota)
Chae, Seong-S. (Department of Business Information Statistics, Daejeon University)
Publication Information
The Korean Journal of Applied Statistics / v.23, no.3, 2010 , pp. 533-543 More about this Journal
Abstract
Asking sensitive questions by a direct survey method causes non-response bias and response bias. Non-response bias arises from interviewees refusal to respond and response bias arises from giving incorrect responses. To rectify these biases, Warner (1965) introduced a randomized response model which is an alternative survey method for socially undesirable or incriminating behavior questions. The randomized response model is a procedure for collecting the information on sensitive characteristics without exposing the identity of the respondent. Many survey researchers have proposed diverse variants of the Warner randomized response model and applied their model to collect the information of sensitive questions. Using an optimal allocation, we proposed three-stage stratified randomized response technique which is an extension of the Kim and Elam (2005) two-stage stratified randomized response technique. In this study, we showed that the estimator based on the proposed response model is more efficient than Kim and Elam (2005). But by adding one more survey step to the Kim and Elam (2005), our proposed model may have relatively less privacy protection compared to the Kim and Elam (2005) model.
Keywords
Randomized response model; stratified random sample;
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Times Cited By KSCI : 3  (Citation Analysis)
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