[Turing-Southampton] S3RI seminar: Carina Cornesse (University of Mannheim)
Chieh-Hsi Wu
C-H.Wu at soton.ac.uk
Mon Nov 1 10:29:21 GMT 2021
Dear all,
Hope everyone is having a nice Monday!
At the S3RI seminar this week (Thursday 4 November, 2 PM), we have Dr Carina Cornesse (University of Mannheim) giving a talk on
"From German Internet Panel to Mannheim Corona Study: Adapting a probability-based online panel infrastructure during the pandemic."
Please see below for the details of the talk and how to join the seminar online.
Have a great week, and hope to see you at the seminar on Thursday!
Kind regards,
Jessie
>From German Internet Panel to Mannheim Corona Study: Adapting a probability-based online panel infrastructure during the pandemic
Carina Cornesse (University of Mannheim)
The outbreak of COVID-19 has sparked a sudden demand for fast, frequent and accurate data on the societal impact of the pandemic. This demand has highlighted a divide in survey data collection: Most probability-based social surveys, which can deliver the necessary data quality to allow valid inference to the general population, are slow, infrequent and ill-equipped to survey people during a lockdown. Most non-probability online surveys, which can deliver large amounts of data fast, frequently and without interviewer contact, however, cannot provide the data quality needed for population inference. Well aware of this chasm in the data landscape, at the onset of the pandemic, we 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). The MCS has provided academics and political decision-makers with key information to understand the social and economic developments during the early phase of the pandemic.
In this talk, I will describe the panel adaptation process from GIP to MCS, demonstrate the benefits of the MCS data on its own and when linked to other data sources, and evaluate the data quality achieved by the MCS fast-response methodology.
The core MCS research group consists of Annelies Blom, Carina Cornesse, Sabine Friedel, Ulrich Krieger, Marina Fikel, Tobias Rettig, Alexander Wenz, Sebastian Juhl, Roni Lehrer, Katja Möhring, Elias Naumann, and Maximiliane Reifenscheid. The talk builds on our survey methodological research published in the Journal of the Royal Statistical Society: Series A (https://doi.org/10.1111/rssa.12749) and Survey Research Methods (https://doi.org/10.18148/srm/2020.v14i2.7735).
<Details for joining the seminar>
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