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dc.contributor.authorDaikeler, Jessicade
dc.contributor.authorGauly, Brittade
dc.contributor.authorRosenthal, Matthiasde
dc.contributor.editorMaehler, Débora B.de
dc.contributor.editorRammstedt, Beatricede
dc.date.accessioned2020-10-13T11:30:42Z
dc.date.available2020-10-13T11:30:42Z
dc.date.issued2020de
dc.identifier.isbn978-3-030-47515-4de
dc.identifier.issn2367-1718de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/70070
dc.description.abstractLinking survey data to administrative data offers researchers many opportunities. In particular, it enables them to enrich survey data with additional information without increasing the burden on respondents. German PIAAC data on individual skills, for example, can be combined with administrative data on individual employment histories. However, as the linkage of survey data with administrative data records requires the consent of respondents, there may be bias in the linked dataset if only a subsample of respondents - for example, high-educated individuals - give their consent. The present chapter provides an overview of the pilot project about linking the German PIAAC data with individual administrative data. In a first step, we illustrate characteristics of the linkable datasets and describe the linkage process and its methodological challenges. In a second step, we provide an illustrative example of the use of the linked data and investigate how the skills assessed in PIAAC are associated with the linkage decision.de
dc.languageende
dc.publisherSpringerde
dc.relation.ispartof69624
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherPIAAC; PIAAC-L; administrative data; data linkage; consent to linkagede
dc.titleLinking PIAAC Data to Individual Administrative Data: Insights from a German Pilot Projectde
dc.description.reviewbegutachtetde
dc.description.reviewrevieweden
dc.source.collectionLarge-Scale Cognitive Assessment: Analyzing PIAAC Datade
dc.publisher.countryDEU
dc.publisher.cityChamde
dc.source.seriesMethodology of Educational Measurement and Assessment
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.thesozDatengewinnungde
dc.subject.thesozdata captureen
dc.subject.thesozDatenaufbereitungde
dc.subject.thesozdata preparationen
dc.subject.thesozDatenqualitätde
dc.subject.thesozdata qualityen
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionGESISde
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10040714
internal.identifier.thesoz10040547
internal.identifier.thesoz10040524
internal.identifier.thesoz10055811
dc.type.stockincollectionde
dc.type.documentSammelwerksbeitragde
dc.type.documentcollection articleen
dc.source.pageinfo271-290de
internal.identifier.classoz10105
internal.identifier.document25
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.1007/978-3-030-47515-4_11de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review2
internal.identifier.series1686
ssoar.wgl.collectiontruede
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse
ssoar.urn.registrationfalsede


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