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[journal article]

dc.contributor.authorGummer, Tobiasde
dc.contributor.authorKunz, Tanjade
dc.date.accessioned2023-03-03T16:06:37Z
dc.date.available2023-03-03T16:06:37Z
dc.date.issued2021de
dc.identifier.issn1552-8286de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/85364
dc.description.abstractWith the increasing use of smartphones in web surveys, considerable efforts have been devoted to reduce the amount of screen space taken up by questions. An emerging stream of research in this area is aimed at optimizing the design elements of rating scales. One suggestion that has been made is to completely abandon verbal labels and use only numeric labels instead. This approach deliberately shifts the task of scale interpretation to the respondents and reduces the information given to them with an intention to reduce their response burden while still preserving the scale meaning. Following prior research, and by drawing on the established model of the cognitive response process, we critically tested these assumptions. Based on a web survey experiment, we found that omitting verbal labels and using only numeric labels instead pushed respondents to focus their responses on the endpoints of a rating scale. Moreover, drawing on response time paradata, we showed that their response burden was not reduced when presented with only numeric labels; quite the opposite was the case, especially when respondents answered the scale with only numeric labels for the first time, which seemed to entail additional cognitive effort. Based on our findings, we advise against using only numeric labels for rating scales in web surveys.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherattitude scales; paradata; response styles; satisficing; web surveysde
dc.titleUsing Only Numeric Labels Instead of Verbal Labels: Stripping Rating Scales to Their Bare Minimum in Web Surveysde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.identifier.urllocalfile:/var/tmp/crawlerFiles/deepGreen/3c8dbb7ebab64a2d8c421286008c88af/3c8dbb7ebab64a2d8c421286008c88af.pdfde
dc.source.journalSocial Science Computer Review
dc.source.volume39de
dc.publisher.countryUSAde
dc.source.issue5de
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.thesozOnline-Befragungde
dc.subject.thesozonline surveyen
dc.subject.thesozFragebogende
dc.subject.thesozquestionnaireen
dc.subject.thesozDatengewinnungde
dc.subject.thesozdata captureen
dc.subject.thesozDatenqualitätde
dc.subject.thesozdata qualityen
dc.subject.thesozAntwortverhaltende
dc.subject.thesozresponse behavioren
dc.identifier.urnurn:nbn:de:0168-ssoar-85364-1
dc.rights.licenceDeposit Licence - Keine Weiterverbreitung, keine Bearbeitungde
dc.rights.licenceDeposit Licence - No Redistribution, No Modificationsen
ssoar.contributor.institutionGESISde
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10040714
internal.identifier.thesoz10037911
internal.identifier.thesoz10037914
internal.identifier.thesoz10040547
internal.identifier.thesoz10055811
internal.identifier.thesoz10035808
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo1003-1029de
internal.identifier.classoz10105
internal.identifier.journal645
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.1177/0894439320951765de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence3
internal.identifier.pubstatus1
internal.identifier.review1
ssoar.wgl.collectiontruede
internal.dda.referencecrawler-deepgreen-188@@3c8dbb7ebab64a2d8c421286008c88af


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