An improved quantitative randomized response technique for data collection in sensitive surveys

Muhammad Azeem (), Sundus Hussain (), Musarrat Ijaz () and Najma Salahuddin ()
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Muhammad Azeem: University of Malakand
Sundus Hussain: Shaheed Benazir Bhutto Women University
Musarrat Ijaz: Shaheed Benazir Bhutto Women University
Najma Salahuddin: Shaheed Benazir Bhutto Women University

Quality & Quantity: International Journal of Methodology, 2024, vol. 58, issue 1, No 17, 329-341

Abstract: Abstract In social surveys, the respondents often tend to refuse to provide truthful information on sensitive issues. The technique of randomized response is a useful tool to collect reliable data by ensuring the privacy protection of the respondents. This paper presents a new modified randomized response scrambling procedure which is found to be more efficient than the existing techniques. Besides efficiency, the joint measure of respondent-privacy and efficiency is also smaller than the existing models which indicates that the overall quality of the proposed model is better than the existing quantitative randomized response models. A real-life example of data collection through the proposed model is also presented. The improvement in percent relative efficiency and privacy protection is shown for various choices of parameters.

Keywords: Randomized response; Sensitive surveys; Privacy protection; Efficiency; Scrambling variable (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11135-023-01652-5

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