电话和网络调查模式中问题特征对项目无应答的影响

IF 1.1 3区 社会学 Q2 ANTHROPOLOGY
O. Lipps, Gian-Andrea Monsch
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引用次数: 2

摘要

电话调查面临越来越多的批评,因为覆盖面减少,成本增加,以及产生社会期望的答案的风险。因此,调查管理员考虑将他们的调查转换为网络模式,尽管网络模式更容易受到项目无反应的影响。然而,我们不知道这是否适用于所有类型的问题。本文分析了在电话和网络模式下,问题的形式或难度等问题特征在多大程度上决定了问题的不回答。我们使用的数据来自一项实验,在该实验中,从人口登记册中随机抽取的个体被实验地分配到这两种模式。对不知道反应、项目拒绝和中等规模反应频率的区分效应,我们发现一般在网络模式下,不知道反应和项目拒绝的频率更高,而在中等规模的反应中没有差异。然而,这种关系取决于问题的特点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of Question Characteristics on Item Nonresponse in Telephone and Web Survey Modes
Telephone surveys face more and more criticism because of decreasing coverage and increasing costs, and the risk of producing socially desirable answers. Consequently, survey administrators consider switching their surveys to the web mode, although the web mode is more susceptible to item nonresponse. Still, we do not know whether this is true for all question types. In this article, we analyze to what extent item nonresponse depends on question characteristics such as their form or difficulty in the telephone and the web mode. We use data from an experiment in which individuals randomly sampled from a population register are experimentally assigned to these two modes. Distinguishing effects on the frequency of don’t know responses, item refusals, and mid-scale responding, we find more don’t know responses and item refusals for the web mode generally, but no differences for mid-scale responding. However, this relationship depends on the characteristics of the question.
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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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