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Predicting data quality of proxy reports in egocentric network studies
Social Networks ( IF 4.144 ) Pub Date : 2021-02-11 , DOI: 10.1016/j.socnet.2021.01.007
Tobias H. Stark , Volker Stocké

Egocentric network studies and many general population surveys rely on proxy reports about network contacts of study participants that are asked in name interpreter questions. A central concern is the extent to which proxy reports match the answers these contacts would give themselves if they would be directly interviewed. Based on the theory of survey satisficing, the present research proposes a theoretical framework that allows predicting when proxy reports are likely to match self-reports. Congruence is higher if respondents possess the motivation and ability to answer a proxy question effortfully, and if the task is not too difficult. Moreover, the theory of survey satisficing states that motivation, abilities, and task difficulty are not independent of each other, which provides an explanation for inconsistent findings in the literature. Results from two egocentric network studies study among German adults (N = 756) and among Dutch middle school students (N = 679), in which network contacts were also interviewed, are in line with these hypotheses. Design recommendations for egocentric network studies are provided.



中文翻译:

在以自我为中心的网络研究中预测代理报告的数据质量

以自我为中心的网络研究和许多一般人群调查依赖于名称解释器问到的有关研究参与者网络联系的代理报告。一个中心问题是代理报告与这些联系方式(如果直接进行访谈)将给自己提供的答案相匹配的程度。基于调查满意度的理论,本研究提出了一个理论框架,可以预测代理报告何时可能与自我报告相匹配。如果受访者具有积极地回答代理问题的动机和能力,并且任务不是很困难,则一致性更高。此外,调查令人满意的理论指出动机,能力和任务难度不是彼此独立的,这为文献中不一致的发现提供了解释。N = 756)和荷兰中学生(N = 679)中也与网络接触者进行过访谈,符合这些假设。提供了以自我为中心的网络研究的设计建议。

更新日期:2021-02-11
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