Investigating selection bias of online surveys on coronavirus-related behavioral outcomes

IF 0.9 2区 社会学 Q4 SOCIAL SCIENCES, MATHEMATICAL METHODS
Ines Schaurer, Bernd Weiss
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引用次数: 46

Abstract

The coronavirus SARS-CoV-2 outbreak has stimulated numerous online surveys that are mainly based on online convenience samples or commercial online access panels where par-ticipants select themselves. The results are, nevertheless, often generalized to the general pop-ulation. In our paper we investigate the potential bias that is introduced by respondents’ self-selection. The analysis is based on survey data of the “GESIS Panel Special Survey on the Coronavirus SARS-CoV-2 Outbreak in Germany”, together with background information of the GESIS Panel. Our analyses show indication of a nonignorable amount of selection bias for measures of personality traits among online survey respondents. This provides some evidence that participating in an online survey and complying with measures that can minimize the risk of being infected with the SARS-CoV-2 virus are confounded. Hence, generalizing these results to the general population bears the risk of over-or underestimating the share of the population that complies with specific measures.
调查冠状病毒相关行为结果在线调查的选择偏差
冠状病毒SARS-CoV-2爆发引发了大量在线调查,这些调查主要基于在线便利样本或商业在线访问面板,参与者可以自行选择。然而,研究结果往往适用于一般人群。在本文中,我们研究了被调查者自我选择所带来的潜在偏见。分析基于“GESIS专家组对德国冠状病毒SARS-CoV-2疫情的专项调查”的调查数据,并结合GESIS专家组的背景资料。我们的分析表明,在在线调查受访者中,对人格特征的测量存在不可忽视的选择偏差。这提供了一些证据,表明参与在线调查和遵守可以将感染SARS-CoV-2病毒的风险降至最低的措施是混淆的。因此,将这些结果推广到一般人群有可能高估或低估遵守具体措施的人口比例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Survey Research Methods
Survey Research Methods SOCIAL SCIENCES, MATHEMATICAL METHODS-
CiteScore
7.50
自引率
4.20%
发文量
0
审稿时长
52 weeks
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