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Collecting Multiple Data Linkage Consents in a Mixed-mode Survey: Evidence from a large-scale longitudinal study in the UK

Calderwood, L; Thornby, M; Gaia, A; Kotecha, M; Beninger, K; (2018) Collecting Multiple Data Linkage Consents in a Mixed-mode Survey: Evidence from a large-scale longitudinal study in the UK. Survey Methods: Insights from the Field 10.13094/SMIF-2018-00004. Green open access

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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.

Type: Article
Title: Collecting Multiple Data Linkage Consents in a Mixed-mode Survey: Evidence from a large-scale longitudinal study in the UK
Open access status: An open access version is available from UCL Discovery
DOI: 10.13094/SMIF-2018-00004
Language: English
Additional information: © the authors 2018. This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/deed.en_US)
Keywords: data linkage, longitudinal, mixed-mode surveys, Next Steps study
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education
URI: https://discovery.ucl.ac.uk/id/eprint/10056711
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