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https://doi.org/10.1007/978-3-030-47515-4_11
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Linking PIAAC Data to Individual Administrative Data: Insights from a German Pilot Project
[Sammelwerksbeitrag]
Dieser Sammelwerksbeitrag gehört zu folgendem Sammelwerk:
Large-Scale Cognitive Assessment: Analyzing PIAAC Data
Abstract Linking 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 da... mehr
Linking 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.... weniger
Thesaurusschlagwörter
Umfrageforschung; Datengewinnung; Datenaufbereitung; Datenqualität
Klassifikation
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Freie Schlagwörter
PIAAC; PIAAC-L; administrative data; data linkage; consent to linkage
Titel Sammelwerk, Herausgeber- oder Konferenzband
Large-Scale Cognitive Assessment: Analyzing PIAAC Data
Herausgeber
Maehler, Débora B.; Rammstedt, Beatrice
Sprache Dokument
Englisch
Publikationsjahr
2020
Verlag
Springer
Erscheinungsort
Cham
Seitenangabe
S. 271-290
Schriftenreihe
Methodology of Educational Measurement and Assessment
ISSN
2367-1718
ISBN
978-3-030-47515-4
Status
Veröffentlichungsversion; begutachtet