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[journal article]

dc.contributor.authorFelderer, Barbarade
dc.contributor.authorBlom, Annelies G.de
dc.date.accessioned2022-06-14T07:52:51Z
dc.date.available2022-06-14T07:52:51Z
dc.date.issued2022de
dc.identifier.issn1552-8294de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/79564
dc.description.abstractThe ease at which online paradata can be captured in web surveys seems to increase social researchers’ desire to collect such data. Yet little attention is paid to whether respondents actually approve of their collection. This article, therefore, studies online survey respondents’ acceptance of automatically collecting their geographical locations. In wave 4 of the German Internet Panel, we asked respondents for their consent to automatically track their location using a JavaScript. Respondents were also asked to report their location in a set of traditional survey questions. About 62 percent of respondents consented to the automated collection of their location whereas 97 percent provided their location manually. With respect to consent biases, we find evidence that the composition of the achieved sample of geo-located respondents is biased and that the personal characteristics associated with respondents’ willingness to be geo-located differ between the automated tracking and manual provision of geo-information.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherparadata; informed consent; consent bias; geographical information; data confidentiality; ZA5866: German Internet Panel, Wave 1 - Core Study (September 2012); ZA5869: German Internet Panel, Wave 4 (March 2013)de
dc.titleAcceptance of the Automated Online Collection of Geographical Informationde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalSociological Methods & Research
dc.source.volume51de
dc.publisher.countryGBRde
dc.source.issue2de
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozDatende
dc.subject.thesozdataen
dc.subject.thesozDatengewinnungde
dc.subject.thesozdata captureen
dc.subject.thesozOnline-Befragungde
dc.subject.thesozonline surveyen
dc.subject.thesozErhebungsmethodede
dc.subject.thesozdata collection methoden
dc.subject.thesozStandortde
dc.subject.thesozlocationen
dc.subject.thesozDatenerfassungde
dc.subject.thesozdata acquisitionen
dc.subject.thesozUmfrageforschungde
dc.subject.thesozsurvey researchen
dc.identifier.urnurn:nbn:de:0168-ssoar-79564-5
dc.rights.licenceCreative Commons - Namensnennung, Nicht-kommerz. 4.0de
dc.rights.licenceCreative Commons - Attribution-NonCommercial 4.0en
ssoar.contributor.institutionGESISde
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10034708
internal.identifier.thesoz10040547
internal.identifier.thesoz10037911
internal.identifier.thesoz10037921
internal.identifier.thesoz10047295
internal.identifier.thesoz10040543
internal.identifier.thesoz10040714
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo866-886de
internal.identifier.classoz10105
internal.identifier.journal414
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.1177/0049124119882480de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence32
internal.identifier.pubstatus1
internal.identifier.review1
dc.description.miscFDBde
dc.subject.classhort10100de
ssoar.wgl.collectiontruede
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse


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