Replication Data for: Building a Sampling Frame for Migrant Populations via an Onomastic Approach – Lesson learned from the Austrian Immigrant Survey 2016

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.

移民群体传统上被认为难以开展调查。其人口规模通常过小，无法通过一般人口调查数据进行分析，且用于识别该群体的登记信息往往缺失或不完整。因此，研究人员不得不采用替代性抽样方法。以2016年奥地利移民调查为例，研究采用了onomastic（onomastic）方法——一种基于姓名的抽样方式，通过两步流程构建抽样框架。本文阐述了该抽样方法的概念与实施过程，并对最终获得的样本进行了评估。