The Poisson Extension of the Unrelated Question Model: Improving Surveys With Time-Constrained Questions on Sensitive Topics
The Poisson model (Iberl & Ulrich, in print) is a new survey technique that enables the estimation of how frequently a certain behavior occurs, while employing easy-to-answer yes/no-questions that refer to a specific time frame. In this paper, this model is combined with the unrelated question...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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European Survey Research Association
2024-04-01
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| Series: | Survey Research Methods |
| Subjects: | |
| Online Access: | https://ojs.ub.uni-konstanz.de/srm/article/view/8252 |
| _version_ | 1797193885106044928 |
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| author | Benedikt Iberl Anesa Aljovic Rolf Ulrich Fabiola Reiber |
| author_facet | Benedikt Iberl Anesa Aljovic Rolf Ulrich Fabiola Reiber |
| author_sort | Benedikt Iberl |
| collection | DOAJ |
| description |
The Poisson model (Iberl & Ulrich, in print) is a new survey technique that enables the estimation of how frequently a certain behavior occurs, while employing easy-to-answer yes/no-questions that refer to a specific time frame. In this paper, this model is combined with the unrelated question model (UQM) by Greenberg et al. (1969). The UQM is another survey technique which guarantees complete and objective anonymity to participants in order to achieve more valid survey results when asking sensitive questions (e.g., about drug use). The resulting Poisson extension of the UQM (UQMP) is expected to yield valid estimations for how many participants engage in a researched sensitive behavior, and how regularly they do so. The performance of the UQMP was compared to the performance of the standard Poisson model, employing direct questions, in a survey on drinking and driving. While prevalence estimates differ greatly between the UQMP and the standard Poisson model, the results of both models indicate a high rate of drinking and driving among those German traffic participants who generally engage in this behavior. The difference between prevalence estimates might be explainable by problems of the UQMs’ validity; we discuss possible causes for these problems, and why the UQMP or similar approaches can be valuable nonetheless.
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| first_indexed | 2024-04-24T05:47:29Z |
| format | Article |
| id | doaj.art-f927481d74894b83abc09bac636554b5 |
| institution | Directory Open Access Journal |
| issn | 1864-3361 |
| language | English |
| last_indexed | 2024-04-24T05:47:29Z |
| publishDate | 2024-04-01 |
| publisher | European Survey Research Association |
| record_format | Article |
| series | Survey Research Methods |
| spelling | doaj.art-f927481d74894b83abc09bac636554b52024-04-23T13:35:59ZengEuropean Survey Research AssociationSurvey Research Methods1864-33612024-04-01181The Poisson Extension of the Unrelated Question Model: Improving Surveys With Time-Constrained Questions on Sensitive TopicsBenedikt Iberl0https://orcid.org/0000-0002-4463-7009Anesa Aljovichttps://orcid.org/0009-0001-1401-576XRolf Ulrich1https://orcid.org/0000-0001-8443-2705Fabiola Reiber2https://orcid.org/0000-0002-5654-4985Eberhard Karls Universität TübingenEberhard Karls Universität TübingenUniversität Mannheim The Poisson model (Iberl & Ulrich, in print) is a new survey technique that enables the estimation of how frequently a certain behavior occurs, while employing easy-to-answer yes/no-questions that refer to a specific time frame. In this paper, this model is combined with the unrelated question model (UQM) by Greenberg et al. (1969). The UQM is another survey technique which guarantees complete and objective anonymity to participants in order to achieve more valid survey results when asking sensitive questions (e.g., about drug use). The resulting Poisson extension of the UQM (UQMP) is expected to yield valid estimations for how many participants engage in a researched sensitive behavior, and how regularly they do so. The performance of the UQMP was compared to the performance of the standard Poisson model, employing direct questions, in a survey on drinking and driving. While prevalence estimates differ greatly between the UQMP and the standard Poisson model, the results of both models indicate a high rate of drinking and driving among those German traffic participants who generally engage in this behavior. The difference between prevalence estimates might be explainable by problems of the UQMs’ validity; we discuss possible causes for these problems, and why the UQMP or similar approaches can be valuable nonetheless. https://ojs.ub.uni-konstanz.de/srm/article/view/8252Randomized Response TechniqueUnrelated Question Modelsurvey researchtime-constrained questionsprevalence curvePoisson process |
| spellingShingle | Benedikt Iberl Anesa Aljovic Rolf Ulrich Fabiola Reiber The Poisson Extension of the Unrelated Question Model: Improving Surveys With Time-Constrained Questions on Sensitive Topics Survey Research Methods Randomized Response Technique Unrelated Question Model survey research time-constrained questions prevalence curve Poisson process |
| title | The Poisson Extension of the Unrelated Question Model: Improving Surveys With Time-Constrained Questions on Sensitive Topics |
| title_full | The Poisson Extension of the Unrelated Question Model: Improving Surveys With Time-Constrained Questions on Sensitive Topics |
| title_fullStr | The Poisson Extension of the Unrelated Question Model: Improving Surveys With Time-Constrained Questions on Sensitive Topics |
| title_full_unstemmed | The Poisson Extension of the Unrelated Question Model: Improving Surveys With Time-Constrained Questions on Sensitive Topics |
| title_short | The Poisson Extension of the Unrelated Question Model: Improving Surveys With Time-Constrained Questions on Sensitive Topics |
| title_sort | poisson extension of the unrelated question model improving surveys with time constrained questions on sensitive topics |
| topic | Randomized Response Technique Unrelated Question Model survey research time-constrained questions prevalence curve Poisson process |
| url | https://ojs.ub.uni-konstanz.de/srm/article/view/8252 |
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