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A dataset on survey designs and quality of social and behavioral science surveys during the COVID-19 pandemic.
Gummer, Tobias; Skora, Thomas; von Glasenapp, Karolina; Naumann, Elias.
Afiliación
  • Gummer T; GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany. tobias.gummer@gesis.org.
  • Skora T; University of Mannheim, School of Social Sciences, Mannheim, Germany. tobias.gummer@gesis.org.
  • von Glasenapp K; GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany.
  • Naumann E; GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany.
Sci Data ; 11(1): 619, 2024 Jun 12.
Article en En | MEDLINE | ID: mdl-38866799
ABSTRACT
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ciencias Sociales / Ciencias de la Conducta / Pandemias / COVID-19 Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ciencias Sociales / Ciencias de la Conducta / Pandemias / COVID-19 Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido