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Please use the following Persistent Identifier (PID) to cite this document:
https://doi.org/10.13094/SMIF-2019-00006
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Building a Sampling Frame for Migrant Populations via an Onomastic Approach: Lesson learned from the Austrian Immigrant Survey 2016
[journal article]
Abstract Immigrants are traditionally seen as hard to survey. Their number is often too small to be
analysed via data gained in general population surveys, and registers to identify them are
often missing or incomplete. Therefore, researchers are forced to use alternatives for
sampling. In the case of the... view more
Immigrants are traditionally seen as hard to survey. Their number is often too small to be
analysed via data gained in general population surveys, and registers to identify them are
often missing or incomplete. Therefore, researchers are forced to use alternatives for
sampling. In the case of the Austrian Immigrant Survey 2016, an onomastic (name-based)
approach was used, establishing a sampling frame in a two-step procedure. This article
describes the concept and the implementation of the sampling and evaluates the sample that
could be realised.... view less
Keywords
refugee; sample; survey; Austria; name; data capture; interview; random sample; selection procedure; response behavior
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Free Keywords
hard to reach populations; immigrants; Onomastic sampling; probability samples; sampling frame; Austrian Immigrant Survey; AIS
Document language
English
Publication Year
2019
Page/Pages
p. 1-20
Journal
Survey Methods: Insights from the Field (2019)
Issue topic
Probability and Nonprobability Sampling: Sampling of hard-to-reach survey populations
ISSN
2296-4754
Status
Published Version; peer reviewed