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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301 to 310 of 330 Results
10729_qu01_de_v1_0.pdf
10729_qu01_de_v1_0.pdf
Dec 22, 2020 - Learning conditions during COVID-19 school context (SUF edition)
Adobe PDF - 1.0 MB - MD5: 7f76bc24ea75faa1c32c9cb11901544c
DocumentationQuestionnaire
Questionnaire - Pupils - Measurement points 1, 2, 3
10276_da_de_v1_0.tab
Dec 18, 2020 - COVID-19 Distance Learning Tyrol (SUF edition)
Tabular Data - 2.6 MB - 268 Variables, 2314 Observations - UNF:6:fuAqBiNOKcXu5Uuo8xxuKA==
DataSTATA
Core data file - Stata fomat - 268 Variables, 2314 Observations
10276_da_de_v1_0.zsav
Dec 18, 2020 - COVID-19 Distance Learning Tyrol (SUF edition)
Unknown - 374.1 KB - MD5: 82a24bc8daf045daa4a01eb927d7fccb
DataSPSS
Core data file - compressed SPSS fomat - 268 Variables, 2314 Observations
10276_mr_de_v1_0.pdf
10276_mr_de_v1_0.pdf
Dec 18, 2020 - COVID-19 Distance Learning Tyrol (SUF edition)
Adobe PDF - 217.6 KB - MD5: 0a0dc909558e9ede85a645e5d22656be
DocumentationMethod report
Method report
10276_qu_de_v1_0.pdf
10276_qu_de_v1_0.pdf
Dec 18, 2020 - COVID-19 Distance Learning Tyrol (SUF edition)
Adobe PDF - 830.0 KB - MD5: 6eeaff56160f784e095791f682aa541d
DocumentationQuestionnaire
Questionnaire
10276_vi_de_v1_0.tab
Dec 18, 2020 - COVID-19 Distance Learning Tyrol (SUF edition)
Tabular Data - 68.1 KB - 3 Variables, 1599 Observations - UNF:6:KWB+U/P7xXhJsW3tLqI99w==
Documentation
Variable identifiers and descriptions - machine-readable
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
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