不是随机的,也是不可忽视的。2008-2018年欧洲社会调查中收入问题无反应的实证分析

IF 1.1 3区 社会学 Q2 ANTHROPOLOGY
P. Jabkowski, A. Piekut
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引用次数: 0

摘要

本研究分析了欧洲社会调查(2008-2018)中关于家庭总净收入问题的项目不回答的后果。我们认识到避免回答收入问题的两种机制:任务复杂性和问题敏感性,并应用多层次逻辑回归来预测不同收入水平的受访者拒绝或“不知道”的概率。我们发现,收入较低的受访者拒绝回答收入问题的概率最高,而收入较高的受访者选择“不知道”答案或拒绝回答的概率相同。当将收入作为解释变量包括在内时,反应倾向与家庭收入之间的相关性所产生的偏差会影响对若干态度措施估计的准确性。我们建议通过限制收入问题的复杂性和敏感性以及考虑无反应偏差来降低偏倚的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Not Random and Not Ignorable. An Examination of Nonresponse to Income Question in the European Social Survey, 2008–2018
This study analyzes the consequences of item nonresponse to the question about a household’s total net income in the European Social Survey (2008–2018). We recognize two mechanisms in avoiding answering the income question: task complexity and question sensitivity, and apply multilevel logistic regressions to predict the probability of refusals or “Do not know” across respondents of different income levels. We find that the refusal to answer the income question is the highest for respondents with lower incomes, while the probability of selecting “Do not know” answers or refusal to answer is the same among respondents with higher incomes. The bias resulting from the correlation between response propensities and household income affects the accuracy of estimates for several attitudinal measures when income is included as an explanatory variable. We recommend reducing the risk of bias by limiting the complexity and sensitivity of the income question and accounting for nonresponse bias.
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来源期刊
Field Methods
Field Methods Multiple-
CiteScore
2.70
自引率
5.90%
发文量
41
期刊介绍: Field Methods (formerly Cultural Anthropology Methods) is devoted to articles about the methods used by field wzorkers in the social and behavioral sciences and humanities for the collection, management, and analysis data about human thought and/or human behavior in the natural world. Articles should focus on innovations and issues in the methods used, rather than on the reporting of research or theoretical/epistemological questions about research. High-quality articles using qualitative and quantitative methods-- from scientific or interpretative traditions-- dealing with data collection and analysis in applied and scholarly research from writers in the social sciences, humanities, and related professions are all welcome in the pages of the journal.
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