An estimation of a sensitive attribute by two stage stratified randomized response model

2014 ◽  
Vol 9 (1) ◽  
pp. 25-35 ◽  
Author(s):  
Ki-Hak Hong ◽  
Gi-Sung Lee ◽  
Chang-Kyoon Son ◽  
Jong-Min Kim
Keyword(s):  
Response Model ◽  
Randomized Response ◽  
Two Stage ◽  
Sensitive Attribute ◽  
Randomized Response Model

An Improved Two-stage Randomized Response Model for Estimating the Proportion of Sensitive Attribute

2021 ◽  
pp. 004912412110099
Author(s):  
Ghulam Narjis ◽  
Javid Shabbir
Keyword(s):  
Random Sampling ◽  
Stratified Random Sampling ◽  
Response Model ◽  
Randomized Response Technique ◽  
Randomized Response ◽  
Two Stage ◽  
Sensitive Attribute ◽  
Mean And Variance ◽  
Efficiency Comparison ◽  
Randomized Response Model

The randomized response technique (RRT) is an effective method designed to obtain the stigmatized information from respondents while assuring the privacy. In this study, we propose a new two-stage RRT model to estimate the prevalence of sensitive attribute ([Formula: see text]). A simulation study shows that the empirical mean and variance of proposed estimator are close to corresponding theoretical values. The utility of proposed two-stage RRT model under stratification is also explored. An efficiency comparison between proposed two-stage RRT model and some existing RRT models is carried out numerically under simple and stratified random sampling.

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