Design and implementation of a high-quality probability sample of immigrants and ethnic minorities: lessons learnt

Publication type

Journal Article

Published in

Demographic Research

Authors

Peter Lynn, Alita Nandi, Violetta Parutis and Lucinda Platt

Publication date

Abstract

BACKGROUND: Surveys of immigrants face challenges of coverage, representativeness, and response rates. Longitudinal studies of immigrants and ethnic minorities, which have potential to address pressing issues in demographic research, are rare or partial. In the absence of register data, the highest quality approach is argued to be probability sampling using household screening.
OBJECTIVE: To describe the design and implementation of a nationally representative probability sample of immigrants and ethnic minorities in the United Kingdom.
METHODS: We boosted a nationally representative sample by using small-area census data to identify areas that covered the majority of immigrant and target ethnic minority populations and oversampled addresses from those areas using varying sampling fractions. Households were screened for eligibility based on whether they included a target immigrant/ethnic minority member. If so, all adult members were interviewed.
RESULTS: We anticipated the main challenges would be: fewer eligible households than predicted in sampled areas due to geographical mobility; refusal of those screened to provide information on household eligibility; nonparticipation of eligible households. All these issues were found to some degree. We describe how we addressed them and with what success.

Volume and page numbers

38(21), 513-548

DOI

https://dx.doi.org/10.4054/DemRes.2018.38.21

ISSN

16

Subjects

Migration, Survey Methodology and Ethnic Groups

Notes

Open Access; © 2018 Peter Lynn, Alita Nandi, Violetta Parutis & Lucinda Platt.; This open-access work is published under the terms of the Creative Commons Attribution 3.0 Germany (CC BY 3.0 DE), which permits use, reproduction, and distribution in any medium, provided the original author(s) and source are given credit. See https://creativecommons.org/licenses/by/3.0/de/legalcode.

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