1 to 10 of 144 Results
Feb 29, 2024
Pfaff, Katharina; Weitzel, Daniel; Assenbaum, Laura; Brandl, David; Conte, Luca; Klein, Vanessa; Kvir, Nikita; Meinel, Jakob; Moser, Jakob; Perner, Wanda; Voith, Valentin; Walcherberger, Christina; Windisch, Franziska; Kritzinger, Sylvia, 2022, "Digitize! Online Panel Survey (SUF edition)", https://doi.org/10.11587/8SFV2L, AUSSDA, V6, UNF:6:o7zLhLTnoHdhn+hvdx3fnw== [fileUNF]
Full edition for scientific use. The Digitize! Online Panel Survey is an offline-recruited Austrian opinion survey which measures attitudes and behavior towards several social phenomena and issues. Topics include, amongst others, attitudes towards work, immigration, family, healt... |
Feb 29, 2024 -
Digitize! Online Panel Survey (SUF edition)
Tabular Data - 12.8 MB - 915 Variables, 7954 Observations - UNF:6:JjQ68RFmCl+Cfp01GI63Pw==
Core data file - STATA format - 915 Variables, 7954 Observations (German) |
Feb 29, 2024 -
Digitize! Online Panel Survey (SUF edition)
ZIP Archive - 1.7 MB -
MD5: b2e5381165cb4e6791afec9052ced300
Core data file - compressed CSV format - 915 Variables, 7954 Observations (German) |
Feb 29, 2024 -
Digitize! Online Panel Survey (SUF edition)
Unknown - 2.4 MB -
MD5: ab761bfbadd356865ac206918ccd1550
Core data file - compressed SPSS format - 915 Variables, 7954 Observations (German) |
Feb 29, 2024 -
Digitize! Online Panel Survey (SUF edition)
Tabular Data - 12.7 MB - 915 Variables, 7954 Observations - UNF:6:S+PQ7+squBixuZntEq5Bnw==
Core data file - STATA format - 915 Variables, 7954 Observations (English) |
Feb 29, 2024 -
Digitize! Online Panel Survey (SUF edition)
ZIP Archive - 1.7 MB -
MD5: 7ec63a2563ea19744c1e639aadddb564
Core data file - compressed CSV format - 915 Variables, 7954 Observations (English) |
Feb 29, 2024 -
Digitize! Online Panel Survey (SUF edition)
Unknown - 2.4 MB -
MD5: 82c1a1dfa86a1ef88ede8e71e8e5da23
Core data file - compressed SPSS format - 915 Variables, 7954 Observations (English) |
Feb 29, 2024 -
Digitize! Online Panel Survey (SUF edition)
Adobe PDF - 5.3 MB -
MD5: 89c04a07ae5fe4d5681a86c402cc6411
Method report and codebook (English) |
Feb 29, 2024 -
Digitize! Online Panel Survey (SUF edition)
Adobe PDF - 107.5 KB -
MD5: 84df4ba5050a5f2c23e0fe9e2ab47248
Data curation protocol |
Feb 29, 2024 -
Digitize! Online Panel Survey (SUF edition)
Tabular Data - 195.1 KB - 3 Variables, 5298 Observations - UNF:6:/noAayOHNlft3O4ygBHNQg==
Variable identifiers and descriptions - machine-readable (German) |