首页    期刊浏览 2024年11月07日 星期四
登录注册

文章基本信息

  • 标题:A New Name-Based Sampling Method for Migrants
  • 本地全文:下载
  • 作者:Rainer Schnell ; Tobias Gramlich ; Tobias Bachteler
  • 期刊名称:Methoden, Daten, Analysen
  • 印刷版ISSN:1864-6956
  • 电子版ISSN:2190-4936
  • 出版年度:2013
  • 卷号:7
  • 期号:1
  • 页码:29-57
  • DOI:10.12758/mda.2013.001
  • 出版社:GESIS - Leibniz-Institute for the Social Sciences, Mannheim
  • 摘要:The set of best methods for sampling migrant populations includes name-based sampling. So far this is done using either ad-hoc lists or onomastic dictionaries for the classification of names. This paper proposes a new name-based procedure, which uses a Bayes-classifier for the n-grams of the name. The new procedure is fault-tolerant of alternate spellings, and also allows the classification of names that are not found in dictionaries. It was tested using the names of about 1.600 foreigners in the PASS panel. Finally, a CATI survey based on the new method in Hesse is described.
  • 关键词:Bayes-Classification; n-gram; rare populations; onomastic
国家哲学社会科学文献中心版权所有