Overestimation of COVID-19 Vaccination Coverage in Population Surveys Due to Social Desirability Bias : Results of an Experimental Methods Study in Germany
Overestimation of COVID-19 Vaccination Coverage in Population Surveys Due to Social Desirability Bias : Results of an Experimental Methods Study in Germany
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2022
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Socius : Sociological Research for a Dynamic World ; 8 (2022). - S. 1-8. - Sage Publishing. - ISSN 2378-0231. - eISSN 2378-0231
Zusammenfassung
In Germany, studies have shown that official coronavirus disease 2019 (COVID-19) vaccination coverage estimated using data collected directly from vaccination centers, hospitals, and physicians is lower than that calculated using surveys of the general population. Public debate has since centered on whether the official statistics are failing to capture the actual vaccination coverage. The authors argue that the topic of one’s COVID-19 vaccination status is sensitive in times of a pandemic and that estimates based on surveys are biased by social desirability. The authors investigate this conjecture using an experimental method called the item count technique, which provides respondents with the opportunity to answer in an anonymous setting. Estimates obtained using the item count technique are compared with those obtained using the conventional method of asking directly. Results show that social desirability bias leads some unvaccinated individuals to claim they are vaccinated. Conventional survey studies thus likely overestimate vaccination coverage because of misreporting by survey respondents.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
300 Sozialwissenschaften, Soziologie
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COVID-19, vaccine coverage, sensitive topics, social desirability, item count technique
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WOLTER, Felix, Jochen MAYERL, Henrik K. ANDERSEN, Theresa WIELAND, Justus JUNKERMANN, 2022. Overestimation of COVID-19 Vaccination Coverage in Population Surveys Due to Social Desirability Bias : Results of an Experimental Methods Study in Germany. In: Socius : Sociological Research for a Dynamic World. Sage Publishing. 8, pp. 1-8. ISSN 2378-0231. eISSN 2378-0231. Available under: doi: 10.1177/23780231221094749BibTex
@article{Wolter2022Overe-57431, year={2022}, doi={10.1177/23780231221094749}, title={Overestimation of COVID-19 Vaccination Coverage in Population Surveys Due to Social Desirability Bias : Results of an Experimental Methods Study in Germany}, volume={8}, issn={2378-0231}, journal={Socius : Sociological Research for a Dynamic World}, pages={1--8}, author={Wolter, Felix and Mayerl, Jochen and Andersen, Henrik K. and Wieland, Theresa and Junkermann, Justus} }
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