On the Efficiency of the Newly Developed Composite Randomized Response Technique

In today’s data-driven decision-making 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 at...

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Main Authors: Senani P. Dlamini, Wilford B. Molefe, Olusegun S. Ewemooje
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Computational and Mathematical Methods
Online Access:http://dx.doi.org/10.1155/cmm4/9072547
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author Senani P. Dlamini
Wilford B. Molefe
Olusegun S. Ewemooje
author_facet Senani P. Dlamini
Wilford B. Molefe
Olusegun S. Ewemooje
author_sort Senani P. Dlamini
collection DOAJ
description In today’s data-driven decision-making 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 (πs) from 0.1 to 0.4, the relative efficiency of CRRT increases from 2.2217 to 678.7843. Hence, CRRT was found to be more efficient than the conventional model, making it a robust approach for surveys targeting sensitive attributes, enhancing data accuracy, and supporting effective policy evaluation and resource allocation.
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institution Kabale University
issn 2577-7408
language English
publishDate 2024-01-01
publisher Wiley
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series Computational and Mathematical Methods
spelling doaj-art-f175052873434116b158e5f2f6a7baeb2025-01-04T00:00:05ZengWileyComputational and Mathematical Methods2577-74082024-01-01202410.1155/cmm4/9072547On the Efficiency of the Newly Developed Composite Randomized Response TechniqueSenani P. Dlamini0Wilford B. Molefe1Olusegun S. Ewemooje2Department of StatisticsDepartment of StatisticsDepartment of StatisticsIn today’s data-driven decision-making 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 (πs) from 0.1 to 0.4, the relative efficiency of CRRT increases from 2.2217 to 678.7843. Hence, CRRT was found to be more efficient than the conventional model, making it a robust approach for surveys targeting sensitive attributes, enhancing data accuracy, and supporting effective policy evaluation and resource allocation.http://dx.doi.org/10.1155/cmm4/9072547
spellingShingle Senani P. Dlamini
Wilford B. Molefe
Olusegun S. Ewemooje
On the Efficiency of the Newly Developed Composite Randomized Response Technique
Computational and Mathematical Methods
title On the Efficiency of the Newly Developed Composite Randomized Response Technique
title_full On the Efficiency of the Newly Developed Composite Randomized Response Technique
title_fullStr On the Efficiency of the Newly Developed Composite Randomized Response Technique
title_full_unstemmed On the Efficiency of the Newly Developed Composite Randomized Response Technique
title_short On the Efficiency of the Newly Developed Composite Randomized Response Technique
title_sort on the efficiency of the newly developed composite randomized response technique
url http://dx.doi.org/10.1155/cmm4/9072547
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AT wilfordbmolefe ontheefficiencyofthenewlydevelopedcompositerandomizedresponsetechnique
AT olusegunsewemooje ontheefficiencyofthenewlydevelopedcompositerandomizedresponsetechnique