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[journal article]

dc.contributor.authorHaas, Georg-Christophde
dc.contributor.authorTrappmann, Markde
dc.contributor.authorKeusch, Floriande
dc.contributor.authorBähr, Sebastiande
dc.contributor.authorKreuter, Fraukede
dc.date.accessioned2021-01-04T11:02:33Z
dc.date.available2021-01-04T11:02:33Z
dc.date.issued2020de
dc.identifier.issn2296-4754de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/71085
dc.description.abstractWithin the survey context, a geofence can be defined as a geographical area that triggers a survey invitation when an individual enters the area, dwells in the area for a defined amount of time or exits the area. Geofences may be used to administer context-specific surveys, such as an evaluation survey of a shopping experience at a specific retail location. While geofencing is already used in other contexts (e.g., marketing and retail), this technology seems so far to be underutilized in survey research. We implemented a geofence survey in a smartphone data collection project and geofenced 410 job centers with the Google Geofence API. Overall, the app sent 230 geofence-triggered survey invitations to 107 participants and received 224 responses from 104 participants. This article provides an overview of our geofence survey, including our experiences analyzing the data. We highlight the limitations in our design and examine how those shortcomings affect the number of falsely triggered surveys. Subsequently, we formulate the lessons learned that will help researchers improve their own geofence studies.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.othergeofence; IAB-SMART; triggered surveysde
dc.titleUsing Geofences to Collect Survey Data: Lessons Learned From the IAB-SMART Studyde
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.thesozBundesrepublik Deutschlandde
dc.subject.thesozFederal Republic of Germanyen
dc.subject.thesozOnline-Befragungde
dc.subject.thesozonline surveyen
dc.subject.thesozMobiltelefonde
dc.subject.thesozcell phoneen
dc.subject.thesozgeographische Faktorende
dc.subject.thesozgeographical factorsen
dc.subject.thesozForschungsplanungde
dc.subject.thesozresearch planningen
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
internal.statusnoch nicht fertig erschlossende
internal.identifier.thesoz10040547
internal.identifier.thesoz10037571
internal.identifier.thesoz10037911
internal.identifier.thesoz10060117
internal.identifier.thesoz10063668
internal.identifier.thesoz10043956
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo1-12de
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-2020-00023de
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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