如果他们不理解问题,他们就不会回答。面对面面试中的语言不匹配

IF 0.5 4区 数学 Q4 SOCIAL SCIENCES, MATHEMATICAL METHODS Journal of Official Statistics Pub Date : 2022-06-01 DOI:10.2478/jos-2022-0022
Jannes Jacobsen
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引用次数: 1

摘要

摘要在针对多语言目标人群的调查(如对新移民的调查)中,提供翻译的实地文书是减少回应负担并随后提高数据质量的一个关键方面。如果不解决这一问题,可能会导致调查语言与受访者的母语不匹配。通过对德国难民的调查,本文探讨了受访者母语缺失与项目无应答之间的相关性,这是数据质量的一个关键方面。此外,本文还调查了当母语不可用时,与书面问题使用相同语言的补充录音是否可以减少项目无回答。为了回答研究问题,对每个人的所有遗漏答案进行统计,并通过泊松回归分析进行分析。在第二步中,还估计了单个项目没有响应的可能性。结果显示,语言不匹配以及录音的使用会增加项目的无回应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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If They Don’t Understand the Question, They Don’t answer. Language Mismatch in Face-to-Face Interviews
Abstract The provision of translated field instruments is a crucial aspect to reduce response burden and subsequently increase data quality in surveys with a multi-linguistic target population such as surveys on recent immigrants. Failure to address this can result in a mismatch between the survey language and the respondent’s mother tongue. By using a survey on refugees in Germany, this article explores the correlation of the absence of the respondents’ mother tongue on item nonresponse – a crucial aspect of data quality. Further, this article investigates whether supplementary audio recordings in the same language as the written questions can reduce item nonresponse when the mother tongue is not available. To answer the research questions, all missing answers per individual are counted and analyzed by means of poisson regression analyses. In a second step, the likelihood of item-nonresponse for single items is estimated as well. Results show that a language mismatch as well as the usage of audio recordings increase item nonresponse.
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来源期刊
Journal of Official Statistics
Journal of Official Statistics STATISTICS & PROBABILITY-
CiteScore
1.90
自引率
9.10%
发文量
39
审稿时长
>12 weeks
期刊介绍: JOS is an international quarterly published by Statistics Sweden. We publish research articles in the area of survey and statistical methodology and policy matters facing national statistical offices and other producers of statistics. The intended readers are researchers or practicians at statistical agencies or in universities and private organizations dealing with problems which concern aspects of production of official statistics.
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