411 to 420 of 991 Results
Jun 15, 2023
Perlot, Flooh; Praprotnik, Katrin; Wagner, Markus; Juen, Isabella; Oberluggauer, Patricia, 2023, "Democracy Radar Wave 8 (SUF edition)", https://doi.org/10.11587/HEP6LM, AUSSDA, V2, UNF:6:UGztT0/dyb18WgnPlVViGw== [fileUNF]
Full edition for scientific use. Data set of the eighth 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 affective polariza... |
Jun 15, 2023 -
Democracy Radar Wave 8 (SUF edition)
Adobe PDF - 1015.2 KB -
MD5: 8ffd7e2c29cce104bea5764700e58d1f
Codebook, Questionnaire, Method report |
Jun 15, 2023 -
Democracy Radar Wave 8 (SUF edition)
Tabular Data - 1.1 MB - 106 Variables, 4680 Observations - UNF:6:lZXP1NVdnFR/AOy7MhiSjw==
Core data file – STATA format – 106 Variables, 4680 Observations |
Jun 15, 2023 -
Democracy Radar Wave 8 (SUF edition)
ZIP Archive - 244.9 KB -
MD5: 4ef28a724f8fb0e3a642963b09dcdff8
Core data file – compressed CSV format – 106 Variables, 4680 Observations |
Jun 15, 2023 -
Democracy Radar Wave 8 (SUF edition)
Unknown - 292.6 KB -
MD5: 3f57fb8559b6cf4e8b3d01825f104ace
Core data file – compressed SPSS format – 106 Variables, 4680 Observations |
Jun 15, 2023 -
Democracy Radar Wave 8 (SUF edition)
Adobe PDF - 58.5 KB -
MD5: fa155f87193b59f028e1058c9455af88
Data curation protocol |
Jun 15, 2023 -
Democracy Radar Wave 8 (SUF edition)
Tabular Data - 18.5 KB - 3 Variables, 491 Observations - UNF:6:R8tzYujefB9iSYi+a84uhg==
Variable identifiers and descriptions – machine-readable |
Jun 14, 2023
Kayran, Elif Naz; Danaj, Sonila; Zolyomi, Eszter; Cillo, Rossana; De Smedt, Lynn; De Wispelaere, Frederic; Kovacova, Lucia; Moran, Alexandra; Perocco, Fabio; Prinz, Nicolas; Toplak, Kristina; Vah Jevsnik, Mojca, 2023, "INFO-POW: Information Channels Cross-national Mapping Tool Dataset (OA edition)", https://doi.org/10.11587/HS6WHC, AUSSDA, V1, UNF:6:9YgQDPLXm3JhbCwUxKBv9A== [fileUNF]
Full edition for public use. INFO-POW: Information Channels Mapping Tool Cross-national Dataset is the outcome of the data collection of existing information channels for posting companies in the five project countries (Austria, Belgium, Italy, Slovenia, and Slovakia). The datase... |
Adobe PDF - 364.8 KB -
MD5: a601b3df1a5b86026d9cc95cb5b502c5
Codebook |
Tabular Data - 93.7 KB - 72 Variables, 182 Observations - UNF:6:97egiTy47ju9bhTYw/3r5w==
Core data file – STATA format – 72 Variables, 182 Observations |