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.

移民群体历来被视作调查研究的难点对象。一方面，其样本规模往往过小，无法依托通用人口调查获取的数据开展分析；另一方面，用于识别移民群体的登记名册常存在缺失或不全的问题。为此，研究人员不得不采用替代性抽样方案。以2016年奥地利移民调查（Austrian Immigrant Survey 2016）为例，本次研究采用了基于姓名的（onomastic）抽样方法，通过两步流程构建抽样框。本文详述了该抽样方案的设计理念与实施流程，并对实际达成的抽样样本进行了评估。