Refinement of the extended crosswise model with a number sequence randomizer: Evidence from three different studies in the UK.
The Extended Crosswise Model (ECWM) is a randomized response model with neutral response categories, relatively simple instructions, and the availability of a goodness-of-fit test. This paper refines this model with a number sequence randomizer that virtually precludes the possibility to give evasiv...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0279741 |
| _version_ | 1797944019944210432 |
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| author | Khadiga H A Sayed Maarten J L F Cruyff Peter G M van der Heijden Andrea Petróczi |
| author_facet | Khadiga H A Sayed Maarten J L F Cruyff Peter G M van der Heijden Andrea Petróczi |
| author_sort | Khadiga H A Sayed |
| collection | DOAJ |
| description | The Extended Crosswise Model (ECWM) is a randomized response model with neutral response categories, relatively simple instructions, and the availability of a goodness-of-fit test. This paper refines this model with a number sequence randomizer that virtually precludes the possibility to give evasive responses. The motivation for developing this model stems from a strategic priority of WADA (World Anti-Doping Agency) to monitor the prevalence of doping use by elite athletes. For this model we derived a maximum likelihood estimator that allows for binary logistic regression analysis. Three studies were conducted on online platforms with a total of over 6, 000 respondents; two on controlled substance use and one on compliance with COVID-19 regulations in the UK during the first lockdown. The results of these studies are promising. The goodness-of-fit tests showed little to no evidence for response biases, and the ECWM yielded higher prevalence estimates than direct questions for sensitive questions, and similar ones for non-sensitive questions. Furthermore, the randomizer with the shortest number sequences yielded the smallest response error rates on a control question with known prevalence. |
| first_indexed | 2024-04-10T20:33:08Z |
| format | Article |
| id | doaj.art-aaa3f84fa25845789d91d35d5640d3b2 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-10T20:33:08Z |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-aaa3f84fa25845789d91d35d5640d3b22023-01-25T05:32:39ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-011712e027974110.1371/journal.pone.0279741Refinement of the extended crosswise model with a number sequence randomizer: Evidence from three different studies in the UK.Khadiga H A SayedMaarten J L F CruyffPeter G M van der HeijdenAndrea PetrócziThe Extended Crosswise Model (ECWM) is a randomized response model with neutral response categories, relatively simple instructions, and the availability of a goodness-of-fit test. This paper refines this model with a number sequence randomizer that virtually precludes the possibility to give evasive responses. The motivation for developing this model stems from a strategic priority of WADA (World Anti-Doping Agency) to monitor the prevalence of doping use by elite athletes. For this model we derived a maximum likelihood estimator that allows for binary logistic regression analysis. Three studies were conducted on online platforms with a total of over 6, 000 respondents; two on controlled substance use and one on compliance with COVID-19 regulations in the UK during the first lockdown. The results of these studies are promising. The goodness-of-fit tests showed little to no evidence for response biases, and the ECWM yielded higher prevalence estimates than direct questions for sensitive questions, and similar ones for non-sensitive questions. Furthermore, the randomizer with the shortest number sequences yielded the smallest response error rates on a control question with known prevalence.https://doi.org/10.1371/journal.pone.0279741 |
| spellingShingle | Khadiga H A Sayed Maarten J L F Cruyff Peter G M van der Heijden Andrea Petróczi Refinement of the extended crosswise model with a number sequence randomizer: Evidence from three different studies in the UK. PLoS ONE |
| title | Refinement of the extended crosswise model with a number sequence randomizer: Evidence from three different studies in the UK. |
| title_full | Refinement of the extended crosswise model with a number sequence randomizer: Evidence from three different studies in the UK. |
| title_fullStr | Refinement of the extended crosswise model with a number sequence randomizer: Evidence from three different studies in the UK. |
| title_full_unstemmed | Refinement of the extended crosswise model with a number sequence randomizer: Evidence from three different studies in the UK. |
| title_short | Refinement of the extended crosswise model with a number sequence randomizer: Evidence from three different studies in the UK. |
| title_sort | refinement of the extended crosswise model with a number sequence randomizer evidence from three different studies in the uk |
| url | https://doi.org/10.1371/journal.pone.0279741 |
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