同意不同数据域的数据链接——问题顺序、问题措辞和激励的作用

IF 3 3区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY
Christoph Beuthner, Bernd Weiß, Henning Silber, Florian Keusch, Jette Schröder
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引用次数: 3

摘要

随着我们的现代世界越来越数字化,来自不同数据领域的各种类型的数据可以丰富调查数据。要将调查数据与其他来源联系起来,需要获得调查对象的同意。本文比较了七个数据域的同意与数据链接请求:管理数据、智能手机使用数据、银行数据、生物标记物、Facebook数据、健康保险数据和传感器数据。我们通过实验探索了调查设计者寻求最大同意率的三个因素:同意问题顺序、同意问题措辞和激励。该研究使用了德国的在线样本(n = 3374),结果显示,受访者同意分享智能手机使用数据、Facebook数据和生物标志物的可能性相对较高,而他们在调查中分享银行数据的可能性最低。在三个实验因素中,只有同意问题顺序显著影响同意率。此外,本研究还考察了三种实验操作与七个数据域之间的交互作用,其中只有数据域与同意问题顺序之间的交互作用一致显示出显著的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Consent to data linkage for different data domains – the role of question order, question wording, and incentives
As our modern world has become increasingly digitalized, various types of data from different data domains are available that can enrich survey data. To link survey data to other sources, consent from the survey respondents is required. This article compares consent to data linkage requests for seven data domains: administrative data, smartphone usage data, bank data, biomarkers, Facebook data, health insurance data, and sensor data. We experimentally explore three factors of interest to survey designers seeking to maximize consent rates: consent question order, consent question wording, and incentives. The results of the study using a German online sample (n = 3,374) show that survey respondents have a relatively high probability of consent to share smartphone usage data, Facebook data, and biomarkers, while they are least likely to share their bank data in a survey. Of the three experimental factors, only the consent question order affected consent rates significantly. Additionally, the study investigated the interactions between the three experimental manipulations and the seven data domains, of which only the interaction between the data domains and the consent question order consistently showed a significant effect.
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来源期刊
International Journal of Social Research Methodology
International Journal of Social Research Methodology SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
7.90
自引率
3.00%
发文量
52
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