Social Science Data on Coronavirus Disease

Your information hub for SARS-CoV-2 / COVID-19 pandemic related studies in Austria in the social sciences. Studies will be made available as fast as possible. Thus, not all information is available in English. Some studies will be published as pre-releases meaning that these are not the final datasets. Researchers therefore are obliged to check the most recent version before publishing and must add a disclaimer that they have been publishing with a pre-release version. Pre-release datasets are likely to be updated and substantial changes can happen as part of the continuing quality checks (e.g., weighting variables might change).

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331 to 340 of 356 Results
10093_co_de_v1_1.pdf
Sep 17, 2020 - COVID-19 Prevalence April 2020 (SUF edition)
Adobe PDF - 102.3 KB - MD5: 19607317647396167ed71a5194d92184
CodebookDocumentation
Codebook
10093_da01_de_v1_1.tab
Sep 17, 2020 - COVID-19 Prevalence April 2020 (SUF edition)
Tabular Data - 1.1 MB - 137 Variables, 1577 Observations - UNF:6:VS65FmgRVPOJ6zaT1OWdOA==
DataStata
Core data file - STATA format - 137 Variables, 1577 Observations
10093_da01_de_v1_1.zsav
Sep 17, 2020 - COVID-19 Prevalence April 2020 (SUF edition)
Unknown - 161.1 KB - MD5: c0872ba9f16ab7b3edbcde27c927d5df
DataSPSS
Core data file - compressed SPSS format - 137 Variables, 1577 Observations
10093_qu01_de_v1_1.pdf
10093_qu01_de_v1_1.pdf
Sep 17, 2020 - COVID-19 Prevalence April 2020 (SUF edition)
Adobe PDF - 154.4 KB - MD5: d2526cf5ac840d4d332356cce8f496ce
DocumentationQuestionnaire
Questionnaire I
10093_vi_de_v1_1.tab
Sep 17, 2020 - COVID-19 Prevalence April 2020 (SUF edition)
Tabular Data - 35.0 KB - 3 Variables, 783 Observations - UNF:6:PqKcUTSSKZiToNCNfHnUUw==
Documentation
Variable identifiers and descriptions - machine-readable
COVID-19 Prevalence May 2020 (SUF edition)
COVID-19 Prevalence May 2020 (SUF edition)
Aug 28, 2020
Paškvan, Matea; Kowarik, Alexander; Schrittwieser, Karin; Till, Matthias; Weinauer, Marlene; Göllner, Tobias; Hartleib, Sarah; Klimont, Jeanette; Plate, Marc; Baumgartner, Irene; Edelhofer-Lielacher, Edith; Grasser, Alfred; Kytir, Josef, 2020, "COVID-19 Prevalence May 2020 (SUF edition)", https://doi.org/10.11587/8GPO9W, AUSSDA, V1, UNF:6:mFRSpGojGe7xGEOWYYaZLw== [fileUNF]
Full edition for scientific use. The main purpose of the study was to identify the number of people infected with coronavirus in Austria as well as to report how people are feeling during this crisis. A representative random sample of 3720 people was drawn based on the Central Po...
10097_co_de_v1_0.pdf
Aug 28, 2020 - COVID-19 Prevalence May 2020 (SUF edition)
Adobe PDF - 245.9 KB - MD5: 7a375f8d77acd2d482b5be6bbe676eaa
CodebookDocumentation
Codebook
10097_da01_de_v1_0.tab
Aug 28, 2020 - COVID-19 Prevalence May 2020 (SUF edition)
Tabular Data - 782.7 KB - 144 Variables, 1527 Observations - UNF:6:CHok9ACyz1KDdRfP1Xc6nw==
DataSTATA
Core data file - STATA format - 144 Variables, 1527 Observations
10097_da01_de_v1_0.zsav
Aug 28, 2020 - COVID-19 Prevalence May 2020 (SUF edition)
Unknown - 176.0 KB - MD5: 2056a153ea317ec92b7ccf29bc084422
DataSPSS
Core data file - compressed SPSS format - 144 Variables, 1527 Observations
10097_da02_de_v1_0.tab
Aug 28, 2020 - COVID-19 Prevalence May 2020 (SUF edition)
Tabular Data - 122.7 MB - 4973 Variables, 1527 Observations - UNF:6:wsF/ATp+IUOmKbPKgOCXQQ==
DataSTATA
Stratification bootstrap data file - STATA format - 4973 Variables, 1527 Observations
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