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[journal article]

dc.contributor.authorElevelt, Annede
dc.contributor.authorLugtig, Peterde
dc.contributor.authorToepoel, Verade
dc.date.accessioned2020-03-04T09:50:57Z
dc.date.available2020-03-04T09:50:57Z
dc.date.issued2019de
dc.identifier.issn1864-3361de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/66749
dc.description.abstractThe increasing use of smartphones opens up opportunities for novel ways of survey data collection, but also poses new challenges. Collecting more and different types of data means that studies can become increasingly intrusive. We risk over-asking participants, leading to nonresponse. This study documents nonresponse and nonresponse bias in a smartphone-only version of the Dutch Time Use Survey (TUS). Respondents from the Dutch LISS panel were asked to perform five sets of tasks to complete the whole TUS: 1) accept an invitation to participate in the study and install an app, 2) fill out a questionnaire on the web, 3) participate in the smartphone time use diary on their smartphone, 4) answer pop-up questions and 5) give permission to record sensor data (GPS locations and call data). Results show that 42.9% of invited panel members responded positively to the invitation to participate in a smartphone survey. However, only 28.9% of these willing panel members completed all stages of the study. Predictors of nonresponse are somewhat different at every stage. In addition, respondents who complete all smartphone tasks are different from groups who do not participate at some or any stage of the study. By using data collected in previous waves we show that nonresponse leads to nonresponse bias in estimates of time use. We conclude by discussing implications for using smartphone apps in survey research.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherSmartphone survey; nonresponse; sensor data; nonresponse bias; consent bias; time use researchde
dc.titleDoing a Time Use Survey on Smartphones Only: What Factors Predict Nonresponse at Different Stages of the Survey Process?de
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalSurvey Research Methods
dc.source.volume13de
dc.publisher.countryDEU
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.thesozUmfrageforschungde
dc.subject.thesozsurvey researchen
dc.subject.thesozMobiltelefonde
dc.subject.thesozcell phoneen
dc.subject.thesozAntwortverhaltende
dc.subject.thesozresponse behavioren
dc.subject.thesozDatengewinnungde
dc.subject.thesozdata captureen
dc.subject.thesozZeitbudgetde
dc.subject.thesoztime budgeten
dc.subject.thesozMessungde
dc.subject.thesozmeasurementen
dc.subject.thesozDatenqualitätde
dc.subject.thesozdata qualityen
dc.subject.thesozOnline-Befragungde
dc.subject.thesozonline surveyen
dc.rights.licenceDeposit Licence - Keine Weiterverbreitung, keine Bearbeitungde
dc.rights.licenceDeposit Licence - No Redistribution, No Modificationsen
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10040714
internal.identifier.thesoz10060117
internal.identifier.thesoz10035808
internal.identifier.thesoz10040547
internal.identifier.thesoz10062818
internal.identifier.thesoz10036930
internal.identifier.thesoz10055811
internal.identifier.thesoz10037911
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo195-213de
internal.identifier.classoz10105
internal.identifier.journal674
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.18148/srm/2019.v13i2.7385de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence3
internal.identifier.pubstatus1
internal.identifier.review1
ssoar.urn.registrationfalsede


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