A Novel Randomized Response Survey Technique for Sensitive Surveys
DOI:
https://doi.org/10.13052/jrss0974-8024.1821Keywords:
Privacy protection, randomized response sampling, relative efficiency, scrambling variable, sensitive characteristicsAbstract
Survey statisticians employ randomized response techniques (RRT) to gather data from the respondents. From time to time, researchers make modifications to the existing methods, with the aim to achieve some sort of improvement over the previous methods. The improvement may be in terms of the privacy levels or model-efficiency, or both. In this paper, we introduce an efficient quantitative randomized response technique which provides efficient estimates of the finite population mean. Moreover, the unified quantitative measure under the new suggested technique is also observed to be smaller than the competitor models. A practical data collection example using the new suggested technique is also provided to illustrate its real-world application. Our findings suggest the new technique performs better than the competitor techniques in efficiency as well as in respondents’ privacy level. Besides empirical results, we have also conducted a simulation study to show the improved performance. The comparative analysis reveals that our proposed technique is appropriate for implementation in real-world sample surveys.
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