dc.contributor.author | Cornesse, Carina | de |
dc.contributor.author | Blom, Annelies G. | de |
dc.date.accessioned | 2024-03-13T09:14:20Z | |
dc.date.available | 2024-03-13T09:14:20Z | |
dc.date.issued | 2023 | de |
dc.identifier.issn | 1552-8294 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/74631 | |
dc.description.abstract | Recent years have seen a growing number of studies investigating the accuracy of nonprobability online panels; however, response quality in nonprobability online panels has not yet received much attention. To fill this gap, we investigate response quality in a comprehensive study of seven nonprobability online panels and three probability-based online panels with identical fieldwork periods and questionnaires in Germany. Three response quality indicators typically associated with survey satisficing are assessed: straight-lining in grid questions, item nonresponse, and midpoint selection in visual design experiments. Our results show that there is significantly more straight-lining in the nonprobability online panels than in the probability-based online panels. However, contrary to our expectations, there is no generalizable difference between nonprobability online panels and probability-based online panels with respect to item nonresponse. Finally, neither respondents in nonprobability online panels nor respondents in probability-based online panels are significantly affected by the visual design of the midpoint of the answer scale. | de |
dc.language | en | de |
dc.subject.ddc | Sozialwissenschaften, Soziologie | de |
dc.subject.ddc | Social sciences, sociology, anthropology | en |
dc.subject.other | GESIS Panel; nonprobability sample; probability-based sample; online panel; satisficing; response quality | de |
dc.title | Response Quality in Nonprobability and Probability-based Online Panels | de |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.source.journal | Sociological Methods & Research | |
dc.source.volume | 52 | de |
dc.publisher.country | GBR | de |
dc.source.issue | 2 | de |
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 | Antwortverhalten | de |
dc.subject.thesoz | response behavior | en |
dc.subject.thesoz | Panel | de |
dc.subject.thesoz | panel | en |
dc.subject.thesoz | Stichprobe | de |
dc.subject.thesoz | sample | en |
dc.subject.thesoz | Online-Befragung | de |
dc.subject.thesoz | online survey | en |
dc.subject.thesoz | Wahrscheinlichkeit | de |
dc.subject.thesoz | probability | en |
dc.subject.thesoz | Datengewinnung | de |
dc.subject.thesoz | data capture | en |
dc.subject.thesoz | Datenqualität | de |
dc.subject.thesoz | data quality | en |
dc.subject.thesoz | Umfrageforschung | de |
dc.subject.thesoz | survey research | en |
dc.identifier.urn | urn:nbn:de:0168-ssoar-74631-v2-0 | |
dc.rights.licence | Creative Commons - Namensnennung 4.0 | de |
dc.rights.licence | Creative Commons - Attribution 4.0 | en |
ssoar.contributor.institution | GESIS | de |
internal.status | formal und inhaltlich fertig erschlossen | de |
internal.identifier.thesoz | 10035808 | |
internal.identifier.thesoz | 10054018 | |
internal.identifier.thesoz | 10037472 | |
internal.identifier.thesoz | 10037911 | |
internal.identifier.thesoz | 10061922 | |
internal.identifier.thesoz | 10040547 | |
internal.identifier.thesoz | 10055811 | |
internal.identifier.thesoz | 10040714 | |
dc.type.stock | article | de |
dc.type.document | Zeitschriftenartikel | de |
dc.type.document | journal article | en |
dc.source.pageinfo | 879-908 | de |
internal.identifier.classoz | 10105 | |
internal.identifier.journal | 414 | |
internal.identifier.document | 32 | |
internal.identifier.ddc | 300 | |
dc.identifier.doi | https://doi.org/10.1177/0049124120914940 | de |
dc.description.pubstatus | Veröffentlichungsversion | de |
dc.description.pubstatus | Published Version | en |
internal.identifier.licence | 16 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 1 | |
ssoar.wgl.collection | true | de |
internal.pdf.valid | false | |
internal.pdf.wellformed | true | |
internal.pdf.wellformed | true | |
internal.pdf.encrypted | false | |
internal.pdf.encrypted | false | |
ssoar.licence.fund | Funded by the German Research Foundation (DFG), Project-ID 139943784 | |