1,481 to 1,490 of 3,546 Results
Unknown - 1.4 MB -
MD5: 75f2d5625ec5ef1872a3a0a582a19665
Core data file - compressed SPSS format - 32 Variables, 1073 Observations |
Tabular Data - 1000.8 KB - 3 Variables, 27734 Observations - UNF:6:CbLGDbA4M7EjhY/3qduXAw==
Variable identifiers and descriptions - machine-readable |
Apr 9, 2021 - AUTNES
Müller, Wolfgang C.; Bodlos, Anita; Dolezal, Martin; Eder, Nikolaus; Ennser-Jedenastik, Laurenz; Gahn, Christina; Graf, Elisabeth; Haselmayer, Martin; Haudum, Teresa; Huber, Lena Maria; Kaltenegger, Matthias; Meyer, Thomas M.; Praprotnik, Katrin; Reidinger, Verena; Winkler, Anna Katharina, 2021, "AUTNES Content Analysis of Party Press Releases: Cumulative File (SUF edition)", https://doi.org/10.11587/25P2WR, AUSSDA, V1, UNF:6:i67aYEm1NvbUjmVt3owwZA== [fileUNF]
Full edition for scientific use. The AUTNES coding of party press releases covers all press releases that were issued by parties gaining at least two percent of the votes in the national elections 2002, 2006, 2008, 2013 and 2017. The coding procedure applies the AUTNES relational approach of recording subjects, predicates, and objects to press rele... |
Adobe PDF - 325.6 KB -
MD5: e4bc02753fec8b213c4047a25bf7d1a3
Codebook |
Tabular Data - 10.1 MB - 43 Variables, 9943 Observations - UNF:6:mr84BrW8+myOXMArMBmVag==
Core data file - compressed SPSS format - 43 Variables, 9943 Observations |
ZIP Archive - 3.0 MB -
MD5: 65c7dbadf693722009c4c2b43a165af8
Core data file - compressed csv format - 43 Variables, 9943 Observations |
Unknown - 6.4 MB -
MD5: dd34b1e1cfcc297399a7b1e3d69236dd
Core data file - compressed SPSS format - 43 Variables, 9943 Observations |
Tabular Data - 1.2 MB - 3 Variables, 32831 Observations - UNF:6:GpGTXFUnCq3M8S2BqT0G2Q==
Variable identifiers and descriptions - machine-readable |
Feb 25, 2021 - 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, 2021, "COVID-19 Prevalence November 2020 (SUF edition)", https://doi.org/10.11587/G3C2CS, AUSSDA, V1, UNF:6:mR15ezs0vMyYFjYgB0mgew== [fileUNF]
Full edition for scientific use. The main purpose of the study was to identify the number of people actually infected with coronavirus in Austria, as well as the number of people who have formed antibodies against SARS-CoV-2 and thus have been infected and further to report how people are feeling during this crisis. A representative random sample o... |
Feb 25, 2021 -
COVID-19 Prevalence November 2020 (SUF edition)
Adobe PDF - 99.6 KB -
MD5: 88e909556b5060fca76e4cd99685cb9a
Codebook |
