Publikation:

Voter overrepresentation, vote misreporting, and turnout bias in postelection surveys

Lade...
Vorschaubild

Dateien

Selb_247564.pdf
Selb_247564.pdfGröße: 402.46 KBDownloads: 862

Datum

2013

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

ArXiv-ID

Internationale Patentnummer

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Green
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published

Erschienen in

Electoral Studies. 2013, 32(1), pp. 186-196. ISSN 0261-3794. Available under: doi: 10.1016/j.electstud.2012.11.004

Zusammenfassung

Figures from postelection surveys often grossly overestimate election turnout. Two distinct phenomena are responsible for this gap: overrepresentation of actual voters and vote misreporting by actual nonvoters among survey respondents. Previous accounts of turnout bias are inconclusive in that they either focus on a single component, or fail to separate between the two. In this paper, we formally decompose turnout bias in election surveys into its constituent parts, assess their empirical prevalence and heterogeneity using an extensive collection of 49 vote validation studies from six countries, and employ Bayesian meta regression techniques to account for cross-study differences. Our results indicate that both election and survey characteristics such as actual voter turnout and survey response rates differentially affect the components of turnout bias. We conclude with a discussion of the threats and potentials of our findings for survey-based comparative electoral research.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
320 Politik

Schlagwörter

Election surveys, vote overreporting, nonresponse bias, misclassification bias, vote validation studies, meta analysis

Konferenz

Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690SELB, Peter, Simon MUNZERT, 2013. Voter overrepresentation, vote misreporting, and turnout bias in postelection surveys. In: Electoral Studies. 2013, 32(1), pp. 186-196. ISSN 0261-3794. Available under: doi: 10.1016/j.electstud.2012.11.004
BibTex
@article{Selb2013Voter-24756,
  year={2013},
  doi={10.1016/j.electstud.2012.11.004},
  title={Voter overrepresentation, vote misreporting, and turnout bias in postelection surveys},
  number={1},
  volume={32},
  issn={0261-3794},
  journal={Electoral Studies},
  pages={186--196},
  author={Selb, Peter and Munzert, Simon}
}
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/123456789/24756">
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/24756/2/Selb_247564.pdf"/>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/24756/2/Selb_247564.pdf"/>
    <dcterms:issued>2013</dcterms:issued>
    <dcterms:bibliographicCitation>Electoral Studies ; 32 (2013), 1. - S. 186-196</dcterms:bibliographicCitation>
    <dc:rights>terms-of-use</dc:rights>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/24756"/>
    <dcterms:title>Voter overrepresentation, vote misreporting, and turnout bias in postelection surveys</dcterms:title>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Munzert, Simon</dc:contributor>
    <dc:creator>Munzert, Simon</dc:creator>
    <dc:contributor>Selb, Peter</dc:contributor>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-10-08T11:09:18Z</dc:date>
    <dc:language>eng</dc:language>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/42"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-10-08T11:09:18Z</dcterms:available>
    <dcterms:abstract xml:lang="eng">Figures from postelection surveys often grossly overestimate election turnout. Two distinct phenomena are responsible for this gap: overrepresentation of actual voters and vote misreporting by actual nonvoters among survey respondents. Previous accounts of turnout bias are inconclusive in that they either focus on a single component, or fail to separate between the two. In this paper, we formally decompose turnout bias in election surveys into its constituent parts, assess their empirical prevalence and heterogeneity using an extensive collection of 49 vote validation studies from six countries, and employ Bayesian meta regression techniques to account for cross-study differences. Our results indicate that both election and survey characteristics such as actual voter turnout and survey response rates differentially affect the components of turnout bias. We conclude with a discussion of the threats and potentials of our findings for survey-based comparative electoral research.</dcterms:abstract>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/42"/>
    <dc:creator>Selb, Peter</dc:creator>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen