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451 to 460 of 5,991 Results
Digital Skills 2022 (SUF edition)
Nov 8, 2024 - Public
Grünangerl, Manuela; Prandner, Dimitri, 2024, "Digital Skills 2022 (SUF edition)", https://doi.org/10.11587/O2HXMM, AUSSDA, V2, UNF:6:nzq+QXSRyFE6KGE4t6O1vw== [fileUNF]
Full edition for scientific use. The Digital Skills Austria study examines the extent to which Austrians are able to orientate themselves, find their way and shape the digital space. The study is an online survey conducted in May/June 2022 (Online Access Panel, n = 2190). The target population was the Austrian online population aged 14 and above.
10837_mr_de_v2_0.pdf
Nov 8, 2024 - Digital Skills 2022 (SUF edition)
Adobe PDF - 205.6 KB - MD5: 1826c51dbd3d437a4d80d8ff3068cd30
DocumentationMethod report
Method report
10837_readme.pdf
Nov 8, 2024 - Digital Skills 2022 (SUF edition)
Adobe PDF - 225.7 KB - MD5: 635ff8594582da0c22099fe0b1b3b9bb
Documentation
Data curation protocol
AUTNES Rolling-Cross-Section Panel Study 2013 (SUF edition)
Nov 5, 2024 - AUTNES
Kritzinger, Sylvia; Johann, David; Aichholzer, Julian; Glinitzer, Konstantin; Glantschnigg, Christian; Oberluggauer, Patricia; Thomas, Kathrin; Wagner, Markus; Zeglovits, Eva, 2020, "AUTNES Rolling-Cross-Section Panel Study 2013 (SUF edition)", https://doi.org/10.11587/2EFFLY, AUSSDA, V2, UNF:6:lTgN4AJnVmx4dtfyyj2NVw== [fileUNF]
Full edition for scientific use. This dataset contains political preferences of Austrian citizens eligible to vote (age 16 and older) before (wave 1) and after (waves 2 and 3) the national parliamentary election on 29.9.2013. Telephone interviews (CATI) were conducted in the periods 5.8. – 27.9.2013 (wave 1), 1.10. – 4.11.2013 (wave 2) and 14.8. –...
10055_da_de_v3_0.tab
Nov 5, 2024 - AUTNES Rolling-Cross-Section Panel Study 2013 (SUF edition)
Tabular Data - 4.2 MB - 603 Variables, 4011 Observations - UNF:6:KnQwlP2IJOHIlWH72rXnLA==
DataSTATA
Core data file - STATA format - 603 Variables, 4011 Observations - German
10055_da_de_v3_0.zip
Nov 5, 2024 - AUTNES Rolling-Cross-Section Panel Study 2013 (SUF edition)
ZIP Archive - 790.4 KB - MD5: 273407a262cdb51f04b353965e53ede7
CSVData
Core data file - compressed CSV format - 603 Variables, 4011 Observations - German
10055_da_de_v3_0.zsav
Nov 5, 2024 - AUTNES Rolling-Cross-Section Panel Study 2013 (SUF edition)
Unknown - 1.3 MB - MD5: b772c9be7e8ab202e99582eaa8131b72
DataSPSS
Core data file - compressed SPSS format - 603 Variables, 4011 Observations - German
10055_da_en_v3_0.tab
Nov 5, 2024 - AUTNES Rolling-Cross-Section Panel Study 2013 (SUF edition)
Tabular Data - 4.2 MB - 603 Variables, 4011 Observations - UNF:6:suaeD0d2l7jZxL+FkFrfHA==
DataSTATA
Core data file - STATA format - 603 Variables, 4011 Observations - English
10055_da_en_v3_0.zip
Nov 5, 2024 - AUTNES Rolling-Cross-Section Panel Study 2013 (SUF edition)
ZIP Archive - 790.9 KB - MD5: 054eea366dbdd139b7377ec26cbe75d4
CSVData
Core data file - compressed CSV format - 603 Variables, 4011 Observations - English
10055_da_en_v3_0.zsav
Nov 5, 2024 - AUTNES Rolling-Cross-Section Panel Study 2013 (SUF edition)
Unknown - 1.3 MB - MD5: 4243720e5582ff85fba4ffa54afbcd00
DataSPSS
Core data file - compressed SPSS format - 603 Variables, 4011 Observations - English
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