GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany.
University of Mannheim, School of Social Sciences, Mannheim, Germany.
Sci Data. 2024 Jun 12;11(1):619. doi: 10.1038/s41597-024-03475-x.
In the social and behavioral sciences, surveys are frequently used to collect data. During the COVID-19 pandemic, surveys provided political actors and public health professionals with timely insights on the attitudes and behaviors of the general population. These insights were key in guiding actions to fight the pandemic. However, the data quality of these surveys remains unclear because systematic knowledge about how the survey data were collected during the COVID-19 pandemic is lacking. This is unfortunate, since decades of survey research have shown that survey design impacts data. Our Survey Data Collection and the COVID-19 Pandemic (SDCCP) project deals with this research gap. We collected rich metadata on survey design for 717 social and behavioral science surveys carried out in Germany during the first two years of the COVID-19 pandemic. In this data descriptor, we present a unique resource for a systematic assessment of the survey data collection practices and quality of surveys conducted in Germany during the COVID-19 pandemic.
在社会科学和行为科学领域,调查经常被用于收集数据。在 COVID-19 大流行期间,调查为政治行为体和公共卫生专业人员提供了有关普通民众态度和行为的及时见解。这些见解对于指导抗击大流行的行动至关重要。然而,这些调查的数据质量尚不清楚,因为缺乏关于 COVID-19 大流行期间如何收集调查数据的系统知识。这很不幸,因为数十年来的调查研究表明,调查设计会影响数据。我们的调查数据收集和 COVID-19 大流行(SDCCP)项目解决了这一研究空白。我们收集了德国在 COVID-19 大流行的头两年进行的 717 项社会和行为科学调查的丰富元数据。在这个数据描述符中,我们为系统评估 COVID-19 大流行期间在德国进行的调查数据收集实践和调查质量提供了一个独特的资源。