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[journal article]

dc.contributor.authorCornesse, Carinade
dc.contributor.authorSchaurer, Inesde
dc.date.accessioned2023-01-19T11:37:35Z
dc.date.available2023-01-19T11:37:35Z
dc.date.issued2021de
dc.identifier.issn1552-8286de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/84504
dc.description.abstractWhile online panels offer numerous advantages, they are often criticized for excluding the offline population. Therefore, some probability-based online panels have developed offline population inclusion strategies. Two dominant approaches prevail: providing internet equipment and offering an alternative survey participation mode. We investigate the impact of these approaches on two probability-based online panels in Germany: the German Internet Panel, which provides members of the offline population with internet equipment, and the GESIS Panel, which offers members of the offline population to participate via postal mail surveys. In addition, we explore the impact of offering an alternative mode only to non-internet users versus also offering the alternative mode to internet users who are unwilling to provide survey data online. Albeit lower recruitment and/or panel wave participation probabilities among offliners than onliners, we find that including the offline population has a positive long-term impact on sample accuracy in both panels. In the GESIS Panel, the positive impact is particularly strong when offering the alternative participation mode to non-internet users and internet users who are unwilling to provide survey data online.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.othermixed-mode; online panel; coverage error; attrition; sample accuracy; offliner; GESIS Panel - Standard Edition (ZA5665 v23.0.0); Mikrozensus 2013de
dc.titleThe Long-Term Impact of Different Offline Population Inclusion Strategies in Probability-Based Online Panels: Evidence From the German Internet Panel and the GESIS Panelde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalSocial Science Computer Review
dc.source.volume39de
dc.publisher.countryUSAde
dc.source.issue4de
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozMikrozensusde
dc.subject.thesozmicrocensusen
dc.subject.thesozPanelde
dc.subject.thesozpanelen
dc.subject.thesozInternetde
dc.subject.thesozInterneten
dc.subject.thesozOnline-Befragungde
dc.subject.thesozonline surveyen
dc.subject.thesozBefragungde
dc.subject.thesozsurveyen
dc.subject.thesozStichprobede
dc.subject.thesozsampleen
dc.subject.thesozBenutzerde
dc.subject.thesozuseren
dc.subject.thesozBevölkerungde
dc.subject.thesozpopulationen
dc.subject.thesozErhebungsmethodede
dc.subject.thesozdata collection methoden
dc.identifier.urnurn:nbn:de:0168-ssoar-84504-7
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionWGLde
internal.statusformal und inhaltlich fertig erschlossende
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internal.identifier.thesoz10054018
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dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo687-704de
internal.identifier.classoz10105
internal.identifier.journal645
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.1177/0894439320984131de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
ssoar.wgl.collectiontruede
internal.pdf.validfalse
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse


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