2014
DOI: 10.2478/jos-2014-0015
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A Study of Assimilation Bias in Name-Based Sampling of Migrants

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 signi… Show more

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Cited by 19 publications
(4 citation statements)
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“…Prandner et al, 2019;Schnell et al, 2013;Czaika & Parsons, 2017;Mucha & Łuczaj, 2018, p. 85;Łuczaj et al, 2020). We were searching through publicly available employee lists ("name-based sampling", see Schnell et al, 2014), which is a well-rooted practice in the research of foreign scholars. This approach has resulted in a list of scholars with the names that seemed to be foreign, which we verified using online sources (i.e.…”
Section: Methodsmentioning
confidence: 99%
“…Prandner et al, 2019;Schnell et al, 2013;Czaika & Parsons, 2017;Mucha & Łuczaj, 2018, p. 85;Łuczaj et al, 2020). We were searching through publicly available employee lists ("name-based sampling", see Schnell et al, 2014), which is a well-rooted practice in the research of foreign scholars. This approach has resulted in a list of scholars with the names that seemed to be foreign, which we verified using online sources (i.e.…”
Section: Methodsmentioning
confidence: 99%
“…These data provide information on neighborhoods with an average size of about 500 households (Microm 2017). For this article, we use information on neighborhoods' ethnic composition according to name-based classifications of the members of each household in a specific neighborhood (see Mateos 2007), which has proven to work quite well in a German context (Schnell, Trappmann, and Gramlich 2014). 7 As with all surveys, we face the problem of missing values due to item nonresponse.…”
Section: Variablesmentioning
confidence: 99%
“…These procedures use an algorithm to allocate the origin of a person according to their name [18]. The success of the method might be biased; the name algorithm can lead to more wrong allocations in some PMB groups than in others [19]. Onomastic procedures were not used in the process of sampling at RKI, but to allocate bilingual study information [5,20].…”
Section: Sampling Strategiesmentioning
confidence: 99%