11 to 20 of 991 Results
Apr 1, 2025 -
INFO-POW Project Survey Dataset on Posting and Receiving Companies in the Construction Sector (OA edition)
Adobe PDF - 401.8 KB -
MD5: 7449256d2bae0523920256716515cff8
Codebook |
Apr 1, 2025 -
INFO-POW Project Survey Dataset on Posting and Receiving Companies in the Construction Sector (OA edition)
Tabular Data - 110.8 KB - 239 Variables, 121 Observations - UNF:6:OdqcHnBdLSjQPp7rgJCBqg==
Core data file – STATA format – 239 Variables, 121 Observations |
Apr 1, 2025 -
INFO-POW Project Survey Dataset on Posting and Receiving Companies in the Construction Sector (OA edition)
ZIP Archive - 20.7 KB -
MD5: 0325b485f7f6d1b7a5bcaa72bd702254
Core data file – compressed CSV format – 239 Variables, 121 Observations |
Apr 1, 2025 -
INFO-POW Project Survey Dataset on Posting and Receiving Companies in the Construction Sector (OA edition)
Unknown - 133.6 KB -
MD5: 37802cb45e1a6b97dc987cc59df7382b
Core data file – compressed SPSS format – 239 Variables, 121 Observations |
Apr 1, 2025 -
INFO-POW Project Survey Dataset on Posting and Receiving Companies in the Construction Sector (OA edition)
Adobe PDF - 1.0 MB -
MD5: 7a89b4d2cc62f945b81a5e697609877a
Method report (contains the questionnaire in the appendix) |
Apr 1, 2025 -
INFO-POW Project Survey Dataset on Posting and Receiving Companies in the Construction Sector (OA edition)
Adobe PDF - 43.3 KB -
MD5: 7e9c244031767ca233ed812708327d42
Data curation protocol |
Apr 1, 2025 -
INFO-POW Project Survey Dataset on Posting and Receiving Companies in the Construction Sector (OA edition)
Tabular Data - 32.6 KB - 3 Variables, 870 Observations - UNF:6:jEmbm6UQw9B0ckB7EQcCKQ==
Variable identifiers and descriptions – machine-readable |
Mar 26, 2025
Pfaff, Katharina; Weitzel, Daniel; Assenbaum, Laura; Brandl, David; Conte, Luca; Duschek, Béla; Klein, Vanessa; Kvir, Nikita; Meinel, Jakob; Moser, Jakob; Perner, Wanda; Prießnitz, Leonhard; Voith, Valentin; Walcherberger, Christina; Windisch, Franziska; Kritzinger, Sylvia, 2022, "Digitize! Online Panel Survey (SUF edition)", https://doi.org/10.11587/8SFV2L, AUSSDA, V9, UNF:6:ani8ek+xcE8VEewfDG1oTw== [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... |
Mar 26, 2025 -
Digitize! Online Panel Survey (SUF edition)
Tabular Data - 23.6 MB - 1444 Variables, 10467 Observations - UNF:6:8cbeLBhchqjWjh5BMnfMIA==
Core data file - STATA format - 1444 Variables, 10467 Observations (German) |
Mar 26, 2025 -
Digitize! Online Panel Survey (SUF edition)
ZIP Archive - 2.8 MB -
MD5: c8a07408f5b9680d1654a35bce127eea
Core data file - compressed CSV format - 1444 Variables, 10467 Observations (German) |