Enhanced-Efficiency Randomized Response Model: A Simplified Framework

Ahmad M. Aboalkhair, El Emam El-Hosseiny, Mohammad A. Zayed, Tamer Elbayoumi, Mohamed Ibrahim, A. M. Elshehawey

Research output: Contribution to journalArticlepeer-review

Abstract

The key challenge in advancing randomized response techniques lies in enhancing efficiency while ensuring simplicity and ease of implementation. This research presents a fresh randomized response framework that achieves comparable effectiveness with fewer randomization devices, simplifying its real-world deployment. Compared to Aboalkhair’s (2025) model that depend on two randomization tools, the suggested method delivers equivalent efficiency with only a single tool. The study evaluates the new model’s superiority over existing approaches and establishes a measure of privacy protection. Through theoretical analysis and numerical comparisons, the results demonstrate distinct efficiency benefit of the suggested model.

Original languageEnglish
Pages (from-to)1813-1820
Number of pages8
JournalStatistics, Optimization and Information Computing
Volume14
Issue number4
DOIs
StatePublished - Sep 26 2025

Keywords

  • Sample surveys
  • privacy protection
  • randomized response technique
  • sensitive inquiries
  • sensitive trait

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