dc.contributor.author | Thornby, Marie | de |
dc.contributor.author | Calderwood, Lisa | de |
dc.contributor.author | Kotecha, Mehul | de |
dc.contributor.author | Beninger, Kelsey | de |
dc.contributor.author | Gaia, Alessandra | de |
dc.date.accessioned | 2018-07-16T14:03:49Z | |
dc.date.available | 2018-07-16T14:03:49Z | |
dc.date.issued | 2018 | de |
dc.identifier.issn | 2296-4754 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/58008 | |
dc.description.abstract | Linking survey responses with administrative data is a promising practice to increase the range of research questions to be explored, at a limited interview burden, both for respondents and interviewers. We describe the protocol for asking consent to data linkage on nine different sources in a large-scale nationally representative longitudinal survey of young adults in England: the Next Steps Age 25 Survey. We present empirical evidence on consent to data linkage from qualitative interviews, a pilot study, and the mainstage survey. To the best of our knowledge, this is the first study that discusses the practicalities of implementing a data linkage protocol asking consent both retrospectively and prospectively, on multiple domains, and in the context of a mixed-mode survey. | en |
dc.language | en | de |
dc.subject.ddc | Sozialwissenschaften, Soziologie | de |
dc.subject.ddc | Social sciences, sociology, anthropology | en |
dc.subject.other | data linkage; longitudinal, mixed-mode surveys, Next Steps study | de |
dc.title | Collecting Multiple Data Linkage Consents in a Mixed-mode Survey: Evidence from a large-scale longitudinal study in the UK | 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 | longitudinal study | en |
dc.subject.thesoz | junger Erwachsener | de |
dc.subject.thesoz | survey | en |
dc.subject.thesoz | implementation | en |
dc.subject.thesoz | Längsschnittuntersuchung | de |
dc.subject.thesoz | young adult | en |
dc.subject.thesoz | qualitative interview | en |
dc.subject.thesoz | Befragung | de |
dc.subject.thesoz | data preparation | en |
dc.subject.thesoz | Großbritannien | de |
dc.subject.thesoz | Implementation | de |
dc.subject.thesoz | Great Britain | en |
dc.subject.thesoz | survey research | en |
dc.subject.thesoz | data capture | en |
dc.subject.thesoz | qualitatives Interview | de |
dc.subject.thesoz | Umfrageforschung | de |
dc.subject.thesoz | Datenaufbereitung | de |
dc.identifier.urn | urn:nbn:de:0168-ssoar-58008-8 | |
dc.rights.licence | Creative Commons - Attribution 4.0 | en |
dc.rights.licence | Creative Commons - Namensnennung 4.0 | de |
internal.status | noch nicht fertig erschlossen | de |
internal.identifier.thesoz | 10040714 | |
internal.identifier.thesoz | 10040547 | |
internal.identifier.thesoz | 10037910 | |
internal.identifier.thesoz | 10040524 | |
internal.identifier.thesoz | 10035323 | |
internal.identifier.thesoz | 10042102 | |
internal.identifier.thesoz | 10047087 | |
internal.identifier.thesoz | 10047977 | |
internal.identifier.thesoz | 10050423 | |
dc.type.stock | article | de |
dc.type.document | journal article | en |
dc.type.document | Zeitschriftenartikel | de |
dc.source.pageinfo | 1-14 | de |
internal.identifier.classoz | 10105 | |
internal.identifier.journal | 472 | |
internal.identifier.document | 32 | |
internal.identifier.ddc | 300 | |
dc.identifier.doi | https://doi.org/10.13094/SMIF-2018-00004 | de |
dc.description.pubstatus | Published Version | en |
dc.description.pubstatus | Veröffentlichungsversion | de |
internal.identifier.licence | 16 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 1 | |
internal.pdf.version | 1.4 | |
internal.pdf.valid | true | |
internal.pdf.wellformed | true | |
internal.check.abstractlanguageharmonizer | CERTAIN | |
internal.check.languageharmonizer | CERTAIN_RETAINED | |