A Study of Assimilation Bias in Name-Based Sampling of Migrants

Rainer Schnell; Mark Trappmann; Tobias Gramlich

doi:10.2478/jos-2014-0015

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A Study of Assimilation Bias in Name-Based Sampling of Migrants

Journal of Official Statistics

Volume 30 (2014): Issue 2 (June 2014)

By: Rainer Schnell, Mark Trappmann and Tobias Gramlich

Open Access

|May 2014

Abstract

The use of personal names for screening is an increasingly popular sampling technique for migrant populations. Although this is often an effective sampling procedure, very little is known about the properties of this method. Based on a large German survey, this article compares characteristics of respondents whose names have been correctly classified as belonging to a migrant population with respondentswho aremigrants and whose names have not been classified as belonging to a migrant population. Although significant differences were found for some variables even with some large effect sizes, the overall bias introduced by name-based sampling (NBS) is small as long as procedures with small false-negative rates are employed.

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Articles in this issue

DOI: https://doi.org/10.2478/jos-2014-0015 | Journal eISSN: 2001-7367

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Language: English

Page range: 231 - 249

Submitted on: Feb 1, 2013

Accepted on: Nov 1, 2013

Published online: May 8, 2014

Published in print: Jun 1, 2014

Published by: Sciendo

In partnership with: Paradigm Publishing Services

Keywords:

Hard-to-Reach populations,

Related subjects:

Probability and statistics

© 2014 Rainer Schnell, Mark Trappmann, Tobias Gramlich, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 30 (2014): Issue 2 (June 2014)