COVID-19 Snapshot Monitoring (COSMO Germany) - Full Monitoring Data Set 1-71

DOI

In a crisis such as the current outbreak of the newly emerged coronavirus, it is of utmost importance to monitor public perceptions of risk, protective and preparedness behaviours, public trust, as well as knowledge and misinformation to enable government spokespeople, the media, and health organizations to implement adequate responses (WHO Europe, 2017; World Health Organization, 2017). The purpose of this serial cross-sectional study COSMO is to allow rapid and adaptive monitoring of these variables over time and to assess the relations between risk perceptions, knowledge and misinformation to preparedness and protective behaviour regarding COVID-19 in Germany.

data_COSMO.xlsx, data_COSMO.csv - Data set for all regularly collected variables within the COVID-19 Snapshot Monitoring (collected during 5 waves or more), codebook_COSMO.xlsx, codebook_COSMO.csv, codebook_COSMO.numbers - Codebook for all variables in the data set, including german and english instructions, questions and answer options

Identifier
DOI https://doi.org/10.23668/psycharchives.14475
Metadata Access https://api.datacite.org/dois/10.23668/psycharchives.14475
Provenance
Creator Betsch, Cornelia; Korn, Lars; Felgendreff, Lisa; Eitze, Sarah; Sprengholz, Philipp; Shamsrizi, Parichehr; Siegers, Regina; Goldhahn, Laura; Wieler, Lothar; Schmich, Patrick; Stollorz, Volker; Ramharter, Michael; Bosnjak, Michael; Thaiss, Heidrun; De Bock, Freia; Von Rüden, Ursula
Publisher PsychArchives
Contributor Leibniz Institut Für Psychologie (ZPID); Ahrens, Petra-Angela; Böhm, Robert; Brockmann, Dirk; Bruder, Martin; Crockett, Molly; Ebert, Cara; Eger, Jens; Faust, Jörg; Gilan, Donya; Henkel, Luca; Imhoff, Roland; Krauth, Christian; Lämmlin, Georg; Lamberty, Pia; Lieb, Klaus; Maier, Benjamin F.; Omer, Saad B.; Schlosser, Frank; Schmid, Philipp; Schneider, Sebastian; Sozialwissenschaftliches Institut Der EKD; Steinert, Janina; Thrull, Johannes
Publication Year 2020
Rights CC-BY 4.0; openAccess; Creative Commons Attribution 4.0 International
OpenAccess true
Representation
Language English
Resource Type Dataset
Discipline Social Sciences