即时干预对网络调查响应率和数据质量指标的影响

IF 1.1 3区 社会学 Q2 ANTHROPOLOGY
Hanyu Sun, Andrew Caporaso, D. Cantor, Terisa Davis, Kelly Blake
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引用次数: 0

摘要

以往的调查研究发现,在网络调查中,快速干预和直线化对减少这些不良反应行为是有效的。然而,及时干预对数据质量测量的影响是混合的,而且尚不清楚及时干预如何影响关键的调查估计。我们利用国家癌症研究所的2019年健康信息国家趋势调查推送到网络试点研究进行了一项关于及时干预的实验。我们使用了两种类型的提示,一种针对加速,另一种针对直线。我们发现提示和非提示条件在总体网络响应率上没有显著差异。此外,我们发现,被分配到提示条件的网络受访者在调查上花费了更多的时间,在网格问题上有更低的直线百分比,和更低的加速百分比。关于关键的调查估计,在40个测试项目中有一个的估计存在显著差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Effects of Prompt Interventions on Web Survey Response Rate and Data Quality Measures
Previous survey research has found that prompt interventions for speeding and straightlining were effective at reducing these undesirable response behaviors in web surveys. However, the effects of prompt interventions on data quality measures are mixed, and it is unclear how prompt interventions affect key survey estimates. We conducted an experiment on prompt interventions using the National Cancer Institute’s 2019 Health Information National Trends Survey Push-to-Web Pilot Study. We used two types of prompts, one targeted speeding and the other targeted straightlining. We found no significant differences between the prompt and no-prompt conditions in overall web response rates. Also, we found that web respondents assigned to the prompt condition spent more time on the survey, had a lower percent of straightlining, and a lower percent of speeding on grid questions. Regarding key survey estimates, there were significant differences on estimates for one out of 40 items tested.
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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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