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09 December 2020

Webinar: From the German Internet Panel to the Mannheim Corona Study - Adapting a probability-based online panel infrastructure during the pandemic

City-ESS HQ-NatCen survey methodology seminar series in association with GenPopWeb2

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In this talk, Carina Cornesse will provide a detailed account of how researchers at the University of Mannheim adapted the German Internet Panel to create the Mannheim Corona Study.

Speaker: Carina Cornesse, University of Mannheim

Date: Wednesday 9 December, 6pm

This onlince event is free to attend, please register using the below link.

Sign up for the event on Zoom.

The outbreak of COVID-19 has sparked a sudden demand for fast, frequent, and accurate data on the societal impact of the pandemic. At the onset of the pandemic, the inter-disciplinary research group at the University of Mannheim therefore set up the Mannheim Corona Study (MCS), a rotating panel survey with daily data collection, on the basis of the long-standing probability-based online panel infrastructure of the German Internet Panel (GIP). In a team effort, the research group was able to inform political decision makers and the general public with key information to understand the social and economic developments from as early as March 2020 as well as advance social scientific knowledge through in-depth interdisciplinary research.

In this talk, Carina Cornesse will provide a detailed account of how they adapted the German Internet Panel to create the Mannheim Corona Study. She will also describe how MCS data were collected, processed, and communicated on a daily basis as part of a fast-response methodology. She will discuss the MCS data quality and provide evidence on the impact that conducting the MCS had on the underlying GIP infrastructure.

Carina Cornesse is a post-doctoral researcher in survey methodology at the University of Mannheim and co-director of the project “Recruiting Probability-Based Online Panels: Cost-Efficiency and Data Quality” at the Mannheim Center for European Social Research (MZES). She also serves as associate editor of the Journal of Survey Statistics and Methodology (JSSAM). Her research focuses on social science research design topics, in particular the collection, evaluation, and enhancement of innovative high-quality survey data. She is particularly interested in online panel recruitment and maintenance, probability and nonprobability samples, and augmenting survey data using other data sources.

Sign up for the event on Zoom.

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