Introducing an Efficient Alternative Technique to Optional Quantitative Randomized Response Models
In social surveys on sensitive characteristics, optional randomized response models give the respondents the option to either report the true response or report the scrambled response. If any respondent finds that the question being asked does not feel sensitive, he/she reports the true response. In...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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PsychOpen GOLD/ Leibniz Institute for Psychology
2023-03-01
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| Series: | Methodology |
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| Online Access: | https://meth.psychopen.eu/index.php/meth/article/view/9921 |
| _version_ | 1827960004397760512 |
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| author | Muhammad Azeem Abdul Salam |
| author_facet | Muhammad Azeem Abdul Salam |
| author_sort | Muhammad Azeem |
| collection | DOAJ |
| description | In social surveys on sensitive characteristics, optional randomized response models give the respondents the option to either report the true response or report the scrambled response. If any respondent finds that the question being asked does not feel sensitive, he/she reports the true response. In the existing variants of optional randomized response models, the researcher doesn’t know whether the respondent opted for the correct response or for a scrambled response. In practice, some of the respondents may have no problem in disclosing to the researcher that they are giving the true response and hence not opting for scrambling. This paper presents an alternative procedure to optional scrambling randomized response models, where each respondent has the choice whether or not to disclose to the researcher that he/she is giving the true response. Alternative modified versions of three existing scrambling randomized response models are presented. It is found that the efficiency of the quantitative randomized response models improves if the exact number of respondents who are opting for scrambling, is known to the researcher. Besides improvement in efficiency, the level of the respondent-privacy is the same as that of the existing models, thus resulting in an improvement in the overall quality of the existing models. |
| first_indexed | 2024-04-09T16:02:59Z |
| format | Article |
| id | doaj.art-885bdbd0b785405d93c8d19d1ff041aa |
| institution | Directory Open Access Journal |
| issn | 1614-2241 |
| language | English |
| last_indexed | 2024-04-09T16:02:59Z |
| publishDate | 2023-03-01 |
| publisher | PsychOpen GOLD/ Leibniz Institute for Psychology |
| record_format | Article |
| series | Methodology |
| spelling | doaj.art-885bdbd0b785405d93c8d19d1ff041aa2023-04-25T09:42:10ZengPsychOpen GOLD/ Leibniz Institute for PsychologyMethodology1614-22412023-03-01191244210.5964/meth.9921meth.9921Introducing an Efficient Alternative Technique to Optional Quantitative Randomized Response ModelsMuhammad Azeem0Abdul Salam1Department of Statistics, University of Malakand, Chakdara, KP, PakistanDepartment of Statistics, University of Malakand, Chakdara, KP, PakistanIn social surveys on sensitive characteristics, optional randomized response models give the respondents the option to either report the true response or report the scrambled response. If any respondent finds that the question being asked does not feel sensitive, he/she reports the true response. In the existing variants of optional randomized response models, the researcher doesn’t know whether the respondent opted for the correct response or for a scrambled response. In practice, some of the respondents may have no problem in disclosing to the researcher that they are giving the true response and hence not opting for scrambling. This paper presents an alternative procedure to optional scrambling randomized response models, where each respondent has the choice whether or not to disclose to the researcher that he/she is giving the true response. Alternative modified versions of three existing scrambling randomized response models are presented. It is found that the efficiency of the quantitative randomized response models improves if the exact number of respondents who are opting for scrambling, is known to the researcher. Besides improvement in efficiency, the level of the respondent-privacy is the same as that of the existing models, thus resulting in an improvement in the overall quality of the existing models.https://meth.psychopen.eu/index.php/meth/article/view/9921optional randomized response, scrambling variable, sensitive surveys, privacy protection, efficiency, msc 2020: 62d05msc 2020: 62f07 |
| spellingShingle | Muhammad Azeem Abdul Salam Introducing an Efficient Alternative Technique to Optional Quantitative Randomized Response Models Methodology optional randomized response, scrambling variable, sensitive surveys, privacy protection, efficiency, msc 2020: 62d05 msc 2020: 62f07 |
| title | Introducing an Efficient Alternative Technique to Optional Quantitative Randomized Response Models |
| title_full | Introducing an Efficient Alternative Technique to Optional Quantitative Randomized Response Models |
| title_fullStr | Introducing an Efficient Alternative Technique to Optional Quantitative Randomized Response Models |
| title_full_unstemmed | Introducing an Efficient Alternative Technique to Optional Quantitative Randomized Response Models |
| title_short | Introducing an Efficient Alternative Technique to Optional Quantitative Randomized Response Models |
| title_sort | introducing an efficient alternative technique to optional quantitative randomized response models |
| topic | optional randomized response, scrambling variable, sensitive surveys, privacy protection, efficiency, msc 2020: 62d05 msc 2020: 62f07 |
| url | https://meth.psychopen.eu/index.php/meth/article/view/9921 |
| work_keys_str_mv | AT muhammadazeem introducinganefficientalternativetechniquetooptionalquantitativerandomizedresponsemodels AT abdulsalam introducinganefficientalternativetechniquetooptionalquantitativerandomizedresponsemodels |