Publikation: Puzzling Answers to Crosswise Questions : Examining Overall Prevalence Rates, Response Order Effects, and Learning Effects
Dateien
Datum
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
DOI (zitierfähiger Link)
Internationale Patentnummer
Link zur Lizenz
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Sammlungen
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Publikationsstatus
Erschienen in
Zusammenfassung
This validation study on the crosswise model (CM) examines five survey experiments that were implemented in a general population survey. Our first crucial result is that in none of these experiments was the crosswise model able to verifiably reduce social desirability bias. In contrast to most previous CM applications, we use an experimental design that allows us to distinguish a reduction in social desirability bias from heuristic response behaviour, such as random ticking, leading to false positive or false negative answers. In addition, we provide insights on two potential explanatory mechanisms that have not yet received attention in empirical studies: primacy effects and panel conditioning. We do not find consistent primacy effects, nor does response quality improve due to learning when respondents have had experiences with crosswise models in past survey waves. We interpret our results as evidence that the crosswise model does not work in general population surveys and speculate that the question format causes mistrust in participants.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
Schlagwörter
Konferenz
Rezension
Zitieren
ISO 690
WALZENBACH, Sandra, Thomas HINZ, 2023. Puzzling Answers to Crosswise Questions : Examining Overall Prevalence Rates, Response Order Effects, and Learning Effects. In: Survey Research Methods. European Survey Research Association. 2023, 17(1), pp. 1-13. eISSN 1864-3361. Available under: doi: 10.18148/srm/2023.v17i1.8010BibTex
@article{Walzenbach2023Puzzl-66602, year={2023}, doi={10.18148/srm/2023.v17i1.8010}, title={Puzzling Answers to Crosswise Questions : Examining Overall Prevalence Rates, Response Order Effects, and Learning Effects}, number={1}, volume={17}, journal={Survey Research Methods}, pages={1--13}, author={Walzenbach, Sandra and Hinz, Thomas} }
RDF
<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/server/rdf/resource/123456789/66602"> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-04-17T06:23:37Z</dc:date> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/34"/> <dc:creator>Hinz, Thomas</dc:creator> <dc:contributor>Hinz, Thomas</dc:contributor> <dc:rights>terms-of-use</dc:rights> <dcterms:title>Puzzling Answers to Crosswise Questions : Examining Overall Prevalence Rates, Response Order Effects, and Learning Effects</dcterms:title> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dcterms:issued>2023</dcterms:issued> <dcterms:abstract>This validation study on the crosswise model (CM) examines five survey experiments that were implemented in a general population survey. Our first crucial result is that in none of these experiments was the crosswise model able to verifiably reduce social desirability bias. In contrast to most previous CM applications, we use an experimental design that allows us to distinguish a reduction in social desirability bias from heuristic response behaviour, such as random ticking, leading to false positive or false negative answers. In addition, we provide insights on two potential explanatory mechanisms that have not yet received attention in empirical studies: primacy effects and panel conditioning. We do not find consistent primacy effects, nor does response quality improve due to learning when respondents have had experiences with crosswise models in past survey waves. We interpret our results as evidence that the crosswise model does not work in general population surveys and speculate that the question format causes mistrust in participants.</dcterms:abstract> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-04-17T06:23:37Z</dcterms:available> <dc:contributor>Walzenbach, Sandra</dc:contributor> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/66602/1/Walzenbach_2-1as4f75r4buak0.pdf"/> <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/66602"/> <dc:creator>Walzenbach, Sandra</dc:creator> <dc:language>eng</dc:language> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/66602/1/Walzenbach_2-1as4f75r4buak0.pdf"/> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/34"/> </rdf:Description> </rdf:RDF>