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

[journal article]

Thornby, Marie
Calderwood, Lisa
Kotecha, Mehul
Beninger, Kelsey
Gaia, Alessandra

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... view more

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.... view less

Keywords
longitudinal study; survey; implementation; young adult; qualitative interview; data preparation; Great Britain; survey research; data capture

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Free Keywords
data linkage; longitudinal, mixed-mode surveys, Next Steps study

Document language
English

Publication Year
2018

Page/Pages
p. 1-14

Journal
Survey Methods: Insights from the Field (2018)

DOI
https://doi.org/10.13094/SMIF-2018-00004

ISSN
2296-4754

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.