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[journal article]

dc.contributor.authorLund Clement, Sannede
dc.contributor.authorSeverin-Nielsen, Majbritt Kappelgaardde
dc.contributor.authorShamshiri-Petersen, Dittede
dc.date.accessioned2020-12-28T16:07:57Z
dc.date.available2020-12-28T16:07:57Z
dc.date.issued2020de
dc.identifier.issn2296-4754de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/71061
dc.description.abstractThe increasing use of web surveys and different devices for survey completion calls for the examination of device effects on survey response quality. Whereas most existing studies are based on web panels, subgroups (e.g., students), or short questionnaires designed for device experiments, which compels participants to respond through specific devices, this study is based on two large, nationally representative cross-sectional samples (ISSP 2018 and ISSP 2019) in which the completion device was chosen by the respondent. Seven indicators of response quality are applied, which allows comparison among survey participants answering the questionnaire on a smartphone, tablet, or PC. The results are in line with previous findings: Respondents’ selfevaluated engagement in survey completion does not differ across devices, and only small, nonsystematic differences between devices on satisficing indicators, such as the tendency to agree regardless of question content (acquiescence), non-substantive answers, selection of mid-point response options and primacy effects, and straightlining are identified. Controlling the associations between response device and response quality indicators for self-selection biases did not change the overall result.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.titleDevice effects on survey response quality: A comparison of smartphone, tablet and PC responses on a cross sectional probability samplede
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.thesozOnline-Befragungde
dc.subject.thesozonline surveyen
dc.subject.thesozQuerschnittuntersuchungde
dc.subject.thesozcross-sectional studyen
dc.subject.thesozAntwortverhaltende
dc.subject.thesozresponse behavioren
dc.subject.thesozMobiltelefonde
dc.subject.thesozcell phoneen
dc.subject.thesozComputerde
dc.subject.thesozcomputeren
dc.subject.thesozDatenqualitätde
dc.subject.thesozdata qualityen
dc.subject.thesozISSPde
dc.subject.thesozISSPen
dc.subject.thesozFragebogende
dc.subject.thesozquestionnaireen
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
internal.statusnoch nicht fertig erschlossende
internal.identifier.thesoz10037911
internal.identifier.thesoz10055842
internal.identifier.thesoz10035808
internal.identifier.thesoz10060117
internal.identifier.thesoz10040178
internal.identifier.thesoz10055811
internal.identifier.thesoz10073563
internal.identifier.thesoz10037914
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo1-14de
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-2020-00020de
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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