3,041 to 3,050 of 5,961 Results
Adobe PDF - 237.9 KB -
MD5: e2e2b60f701710e1690ed43683bf2e64
Method report
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Adobe PDF - 221.3 KB -
MD5: df03f0d32c95c8267b6641093cda4d87
Description of derived variables
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Adobe PDF - 174.9 KB -
MD5: 072b237c9ef3335c3087cc305d2e4c07
Additional questions COVID-19, second quarter
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Sep 17, 2020 - COVID-19 Pandemic
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 April 2020 (SUF edition)", https://doi.org/10.11587/FTDGA4, AUSSDA, V2, UNF:6:w7vtbLG4lYcqdukOEe4sMA== [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 2800 people was drawn based on the Central Po... |
Sep 17, 2020 -
COVID-19 Prevalence April 2020 (SUF edition)
Adobe PDF - 102.3 KB -
MD5: 19607317647396167ed71a5194d92184
Codebook |
Sep 17, 2020 -
COVID-19 Prevalence April 2020 (SUF edition)
Tabular Data - 1.1 MB - 137 Variables, 1577 Observations - UNF:6:VS65FmgRVPOJ6zaT1OWdOA==
Core data file - STATA format - 137 Variables, 1577 Observations |
Sep 17, 2020 -
COVID-19 Prevalence April 2020 (SUF edition)
Unknown - 161.1 KB -
MD5: c0872ba9f16ab7b3edbcde27c927d5df
Core data file - compressed SPSS format - 137 Variables, 1577 Observations |
Sep 17, 2020 -
COVID-19 Prevalence April 2020 (SUF edition)
Adobe PDF - 154.4 KB -
MD5: d2526cf5ac840d4d332356cce8f496ce
Questionnaire I |
Sep 17, 2020 -
COVID-19 Prevalence April 2020 (SUF edition)
Tabular Data - 35.0 KB - 3 Variables, 783 Observations - UNF:6:PqKcUTSSKZiToNCNfHnUUw==
Variable identifiers and descriptions - machine-readable |
Sep 15, 2020 - Public
Perlot, Flooh; Hermann, Andrea; Praprotnik, Katrin; Ingruber, Daniela; Hainzl, Christina, 2020, "Democracy Radar Wave 1 (SUF edition)", https://doi.org/10.11587/16RCPU, AUSSDA, V1, UNF:6:3m+HKMPEPx0V3J1olly0yA== [fileUNF]
Full edition for scientific use. Data set of the first wave of the Democracy Radar with data on attitudes towards democracy, politics and the political system in Austria and views on the societal as well as the individual situation. Main focus of this wave was trust in politics.... |