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441 to 450 of 2,971 Results
COVID-19 Prevalence May 2020 (SUF edition)
COVID-19 Prevalence May 2020 (SUF edition)
Aug 28, 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 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
10097_da02_de_v1_0.zsav
Aug 28, 2020 - COVID-19 Prevalence May 2020 (SUF edition)
Unknown - 57.0 MB - MD5: 5da4e5487da3460646c166254300436c
DataSPSS
Stratification bootstrap data file - compressed SPSS format - 4973 Variables, 1527 Observations
10097_qu01_de_v1_0.pdf
10097_qu01_de_v1_0.pdf
Aug 28, 2020 - COVID-19 Prevalence May 2020 (SUF edition)
Adobe PDF - 159.8 KB - MD5: 626996a2a70f6d42d09b3829438f2095
DocumentationQuestionnaire
Questionnaire I
10097_qu02_de_v1_0.pdf
10097_qu02_de_v1_0.pdf
Aug 28, 2020 - COVID-19 Prevalence May 2020 (SUF edition)
Adobe PDF - 95.0 KB - MD5: ddf0a918ce9cfe229f1e1128a95078e3
DocumentationQuestionnaire
Questionnaire II
AUTNES Online Panel Study 2017-2019 (SUF Edition)
AUTNES Online Panel Study 2017-2019 (SUF Edition)
Aug 27, 2020 - AUTNES
Aichholzer, Julian; Partheymüller, Julia; Wagner, Markus; Kritzinger, Sylvia; Plescia, Carolina; Eberl, Jakob-Moritz; Meyer, Thomas; Berk, Nicolai; Büttner, Nico; Boomgaarden, Hajo; Müller, Wolfgang C., 2020, "AUTNES Online Panel Study 2017-2019 (SUF Edition)", https://doi.org/10.11587/QDETRI, AUSSDA, V1, UNF:6:PRC+g7z2YaNDAY0fxuvOkw== [fileUNF]
Full edition for scientific use. The AUTNES Online Panel Study 2017–2019 is a thirteen-wave panel that focuses on the Austrian National Parliamentary Election held on 15 October 2017 and 29 September 2019. This survey is part of the Austrian National Election Study (AUTNES).
10096_da_de_v1_0.tab
Aug 27, 2020 - AUTNES Online Panel Study 2017-2019 (SUF Edition)
Tabular Data - 33.9 MB - 3615 Variables, 6624 Observations - UNF:6:LRa9bPT9mZKlPzrboPS73Q==
DataSTATA
Core data file - STATA format - 3615 Variables, 6624 Observations - German
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