Efficient Randomized Response Model Tailored for Estimating Highly Sensitive Characteristics

Authors

  • Ahmad Aboalkhair Department of Quantitative Methods, College of Business, King Faisal University, Saudi Arabia

DOI:

https://doi.org/10.19139/soic-2310-5070-2879

Keywords:

Randomized response technique; privacy safeguarding; delicate subjects; response error; partial honest disclosure.

Abstract

When broaching extremely delicate subjects, individuals might offer inadequate or dishonest revelations, jeopardizing data precision. To counteract this challenge, this research proposes a new  and effective randomized response structure crafted to enhance  the assessment of highly sensitive characteristics. The proposed framework enhances Aboalkhair’s (2025) model, which has emerged as a viable substitute for Mangat’s frameworks. This investigation assesses the scenarios where the proposed method performs better than Mangat's method. Through theoretical scrutiny and numerical simulations—taking into consideration partial honest disclosures—the outcomes showcase the model's heightened effectiveness. Furthermore, the article quantifies the level of privacy safeguarding provided by this innovative approach.

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Published

2025-09-26

How to Cite

Aboalkhair, A. (2025). Efficient Randomized Response Model Tailored for Estimating Highly Sensitive Characteristics. Statistics, Optimization & Information Computing, 15(3), 1528–1535. https://doi.org/10.19139/soic-2310-5070-2879

Issue

Vol. 15 No. 3 (2026)

Section

Research Articles

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