High-Frequency and High-Quality Survey Data Collection: The Mannheim Corona Study

IF 0.9 2区 社会学 Q4 SOCIAL SCIENCES, MATHEMATICAL METHODS Survey Research Methods Pub Date : 2020-06-02 DOI:10.18148/SRM/2020.V14I2.7735
A. Blom, Carina Cornesse, Sabine Friedel, Ulrich Krieger, Marina Fikel, Tobias Rettig, Alexander Wenz, Sebastian Juhl, R. Lehrer, K. Möhring, Elias Naumann, Maximiliane Reifenscheid
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引用次数: 9

Abstract

The outbreak of the COVID-19 pandemic has a massive impact on society. To curb the spread of the SARS-CoV-2 virus, unprecedented containment measures are being taken by governments around the world. These measures and the fear of the disease itself are likely affecting the economy, social inequality, mental and physical health, and even people’s perception of good democratic governance. Equally unprecedented is the speed at which these massive changes take place and the lack of statistical evidence that accompanies them. Within days of the first containment measures in Germany, the German Internet Panel (GIP) launched the Mannheim Corona Study (MCS), a daily rotating panel study of the general adult population of approximately 3,600 respondents. Its data and reports now inform the crisis cabinet of the German government and are the basis for groundbreaking social and economic research. This paper gives insights into the MCS methodology and data quality.
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高频率和高质量的调查数据收集:曼海姆电晕研究
新冠肺炎疫情对社会造成巨大影响。为了遏制新冠病毒的传播,世界各国政府正在采取前所未有的遏制措施。这些措施和对疾病本身的恐惧可能会影响经济、社会不平等、身心健康,甚至人们对良好民主治理的看法。同样史无前例的是,这些巨大变化发生的速度之快,以及相关统计证据的缺乏。在德国采取首批遏制措施的几天内,德国互联网小组(GIP)启动了曼海姆冠状病毒研究(MCS),这是一项针对大约3600名普通成年人的每日轮转小组研究。它的数据和报告现在为德国政府的危机内阁提供信息,并成为开创性的社会和经济研究的基础。本文给出了MCS方法和数据质量的见解。
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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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