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[journal article]

dc.contributor.authorEckman, Stephaniede
dc.contributor.authorChew, Robde
dc.contributor.authorSanders, Herschelde
dc.contributor.authorFurberg, Robertde
dc.date.accessioned2021-01-04T11:28:59Z
dc.date.available2021-01-04T11:28:59Z
dc.date.issued2020de
dc.identifier.issn2296-4754de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/71087
dc.description.abstractAs survey costs increase and response rates decrease, researchers are looking for alternative methods to collect data from study subjects. Passively collected data may offer a way to reduce the burden on research subjects while also collecting high-quality data needed for social science research. Examples of passive data collection tools are applications installed on mobile devices and sensors in subjects’ homes or worn on the body. In this study, we focus on always-on location data collected from subjects’ iPhones. To explore the promise of passively collected data to augment and improve survey data, we conducted a 2-week pilot study with 24 subjects. We discuss the utility of always-on location data and the challenges researchers may encounter when they incorporate location data in their analyses.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherlocation data; mobile surveys; passive data collection; Global Positioning System; GPSde
dc.titleCollecting and using always-on location data in surveysde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalSurvey Methods: Insights from the Field
dc.publisher.countryDEU
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozDatengewinnungde
dc.subject.thesozdata captureen
dc.subject.thesozMobiltelefonde
dc.subject.thesozcell phoneen
dc.subject.thesozOnline-Befragungde
dc.subject.thesozonline surveyen
dc.subject.thesozgeographische Faktorende
dc.subject.thesozgeographical factorsen
dc.subject.thesozVerhaltende
dc.subject.thesozbehavioren
dc.subject.thesozDatende
dc.subject.thesozdataen
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
internal.statusnoch nicht fertig erschlossende
internal.identifier.thesoz10040547
internal.identifier.thesoz10060117
internal.identifier.thesoz10037911
internal.identifier.thesoz10063668
internal.identifier.thesoz10034530
internal.identifier.thesoz10034708
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo1-9de
internal.identifier.classoz10105
internal.identifier.journal472
internal.identifier.document32
internal.identifier.ddc300
dc.source.issuetopicAdvancements in Online and Mobile Survey Methodsde
dc.identifier.doihttps://doi.org/10.13094/SMIF-2020-00022de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse
ssoar.urn.registrationfalsede


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