dc.contributor.author | Eckman, Stephanie | de |
dc.contributor.author | Chew, Rob | de |
dc.contributor.author | Sanders, Herschel | de |
dc.contributor.author | Furberg, Robert | de |
dc.date.accessioned | 2021-01-04T11:28:59Z | |
dc.date.available | 2021-01-04T11:28:59Z | |
dc.date.issued | 2020 | de |
dc.identifier.issn | 2296-4754 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/71087 | |
dc.description.abstract | As 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.language | en | de |
dc.subject.ddc | Sozialwissenschaften, Soziologie | de |
dc.subject.ddc | Social sciences, sociology, anthropology | en |
dc.subject.other | location data; mobile surveys; passive data collection; Global Positioning System; GPS | de |
dc.title | Collecting and using always-on location data in surveys | de |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.source.journal | Survey Methods: Insights from the Field | |
dc.publisher.country | DEU | |
dc.subject.classoz | Erhebungstechniken und Analysetechniken der Sozialwissenschaften | de |
dc.subject.classoz | Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods | en |
dc.subject.thesoz | Datengewinnung | de |
dc.subject.thesoz | data capture | en |
dc.subject.thesoz | Mobiltelefon | de |
dc.subject.thesoz | cell phone | en |
dc.subject.thesoz | Online-Befragung | de |
dc.subject.thesoz | online survey | en |
dc.subject.thesoz | geographische Faktoren | de |
dc.subject.thesoz | geographical factors | en |
dc.subject.thesoz | Verhalten | de |
dc.subject.thesoz | behavior | en |
dc.subject.thesoz | Daten | de |
dc.subject.thesoz | data | en |
dc.rights.licence | Creative Commons - Namensnennung 4.0 | de |
dc.rights.licence | Creative Commons - Attribution 4.0 | en |
internal.status | noch nicht fertig erschlossen | de |
internal.identifier.thesoz | 10040547 | |
internal.identifier.thesoz | 10060117 | |
internal.identifier.thesoz | 10037911 | |
internal.identifier.thesoz | 10063668 | |
internal.identifier.thesoz | 10034530 | |
internal.identifier.thesoz | 10034708 | |
dc.type.stock | article | de |
dc.type.document | Zeitschriftenartikel | de |
dc.type.document | journal article | en |
dc.source.pageinfo | 1-9 | de |
internal.identifier.classoz | 10105 | |
internal.identifier.journal | 472 | |
internal.identifier.document | 32 | |
internal.identifier.ddc | 300 | |
dc.source.issuetopic | Advancements in Online and Mobile Survey Methods | de |
dc.identifier.doi | https://doi.org/10.13094/SMIF-2020-00022 | de |
dc.description.pubstatus | Veröffentlichungsversion | de |
dc.description.pubstatus | Published Version | en |
internal.identifier.licence | 16 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 1 | |
internal.pdf.wellformed | true | |
internal.pdf.encrypted | false | |
ssoar.urn.registration | false | de |