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A neutral comparative analysis of additive, multiplicative, and mixed quantitative randomized response models

In survey sampling, the randomized response technique is a useful tool to collect reliable data in many fields including sociology, education, economics, and psychology etc. Over the past few decades, many variants of quantitative randomized response models have been developed by researchers. The ex...

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Detalles Bibliográficos
Autores principales: Azeem, Muhammad, Ali, Sidra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10132540/
https://www.ncbi.nlm.nih.gov/pubmed/37099564
http://dx.doi.org/10.1371/journal.pone.0284995
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author Azeem, Muhammad
Ali, Sidra
author_facet Azeem, Muhammad
Ali, Sidra
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description In survey sampling, the randomized response technique is a useful tool to collect reliable data in many fields including sociology, education, economics, and psychology etc. Over the past few decades, many variants of quantitative randomized response models have been developed by researchers. The existing literature on randomized response models lacks a neutral comparative study of different models to help the practitioners choose the appropriate model for a given practical problem. In most of the existing studies, the authors tend to show only the favorable results by hiding the cases where their suggested models are inferior to the existing models. This approach often leads to biased comparisons which may badly misguide the practitioners when choosing a randomized response model for a practical problem at hand. This paper attempts a neutral comparison of six existing quantitative randomized response models using separate as well as joint measures of respondent-privacy and model-efficiency. The findings suggest that one model may perform better than the other model in terms of efficiency but may perform worse when other metrics of model quality are taken into account. The current study guides practitioners in choosing the right model for a given problem under a particular situation.
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spelling pubmed-101325402023-04-27 A neutral comparative analysis of additive, multiplicative, and mixed quantitative randomized response models Azeem, Muhammad Ali, Sidra PLoS One Research Article In survey sampling, the randomized response technique is a useful tool to collect reliable data in many fields including sociology, education, economics, and psychology etc. Over the past few decades, many variants of quantitative randomized response models have been developed by researchers. The existing literature on randomized response models lacks a neutral comparative study of different models to help the practitioners choose the appropriate model for a given practical problem. In most of the existing studies, the authors tend to show only the favorable results by hiding the cases where their suggested models are inferior to the existing models. This approach often leads to biased comparisons which may badly misguide the practitioners when choosing a randomized response model for a practical problem at hand. This paper attempts a neutral comparison of six existing quantitative randomized response models using separate as well as joint measures of respondent-privacy and model-efficiency. The findings suggest that one model may perform better than the other model in terms of efficiency but may perform worse when other metrics of model quality are taken into account. The current study guides practitioners in choosing the right model for a given problem under a particular situation. Public Library of Science 2023-04-26 /pmc/articles/PMC10132540/ /pubmed/37099564 http://dx.doi.org/10.1371/journal.pone.0284995 Text en © 2023 Azeem, Ali https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Azeem, Muhammad
Ali, Sidra
A neutral comparative analysis of additive, multiplicative, and mixed quantitative randomized response models
title A neutral comparative analysis of additive, multiplicative, and mixed quantitative randomized response models
title_full A neutral comparative analysis of additive, multiplicative, and mixed quantitative randomized response models
title_fullStr A neutral comparative analysis of additive, multiplicative, and mixed quantitative randomized response models
title_full_unstemmed A neutral comparative analysis of additive, multiplicative, and mixed quantitative randomized response models
title_short A neutral comparative analysis of additive, multiplicative, and mixed quantitative randomized response models
title_sort neutral comparative analysis of additive, multiplicative, and mixed quantitative randomized response models
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10132540/
https://www.ncbi.nlm.nih.gov/pubmed/37099564
http://dx.doi.org/10.1371/journal.pone.0284995
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