{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T15:28:20Z","timestamp":1753889300949,"version":"3.41.2"},"reference-count":27,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2024,12,27]],"date-time":"2024-12-27T00:00:00Z","timestamp":1735257600000},"content-version":"vor","delay-in-days":361,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Computational and Mathematical Methods"],"published-print":{"date-parts":[[2024,1]]},"abstract":"<jats:p>In today\u2019s data\u2010driven decision\u2010making era, acquiring accurate information is vital. However, survey research faces challenges with sensitive issues. To address this, the Composite Randomized Response Technique (CRRT) was introduced in estimating the proportion of respondents possessing sensitive attributes. This study revealed that as the model captures more and more people involved in the sensitive attributes (<jats:italic>\u03c0<\/jats:italic><jats:sub><jats:italic>s<\/jats:italic><\/jats:sub>) from 0.1 to 0.4, the relative efficiency of CRRT increases from 2.2217 to 678.7843. 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