KOPS - The Institutional Repository of the University of Konstanz

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

Cite This

Files in this item

Checksum: MD5:cf755f9b0ea90c72a33776a4f82c8265

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: 10.1177/23780231221094749

@article{Wolter2022Overe-57431, title={Overestimation of COVID-19 Vaccination Coverage in Population Surveys Due to Social Desirability Bias : Results of an Experimental Methods Study in Germany}, year={2022}, doi={10.1177/23780231221094749}, 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} }

<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/57431"> <dcterms:issued>2022</dcterms:issued> <dc:creator>Wieland, Theresa</dc:creator> <dc:contributor>Wolter, Felix</dc:contributor> <dc:contributor>Andersen, Henrik K.</dc:contributor> <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/57431/3/Wolter_2-3l8cwvsxnf9v4.pdf"/> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/57431/3/Wolter_2-3l8cwvsxnf9v4.pdf"/> <dc:contributor>Wieland, Theresa</dc:contributor> <dc:language>eng</dc:language> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-05-05T10:42:48Z</dcterms:available> <dcterms:abstract xml:lang="eng">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.</dcterms:abstract> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/57431"/> <dc:contributor>Junkermann, Justus</dc:contributor> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:creator>Mayerl, Jochen</dc:creator> <dc:creator>Junkermann, Justus</dc:creator> <dc:rights>terms-of-use</dc:rights> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/43613"/> <dc:contributor>Mayerl, Jochen</dc:contributor> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-05-05T10:42:48Z</dc:date> <dc:creator>Wolter, Felix</dc:creator> <dc:creator>Andersen, Henrik K.</dc:creator> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/34"/> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/43613"/> <dcterms:title>Overestimation of COVID-19 Vaccination Coverage in Population Surveys Due to Social Desirability Bias : Results of an Experimental Methods Study in Germany</dcterms:title> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/34"/> </rdf:Description> </rdf:RDF>

Downloads since May 5, 2022 (Information about access statistics)

Wolter_2-3l8cwvsxnf9v4.pdf 158

This item appears in the following Collection(s)

Search KOPS


Browse

My Account