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191 to 200 of 1,048 Results
10103_vi_de_v1_0.tab
Dec 5, 2024 - Young People: Quality of Life, Traffic, and Mobility 2011 (SUF edition)
Tabular Data - 18.2 KB - 3 Variables, 491 Observations - UNF:6:C0ZolNdrw/KYV6HmOfnb+w==
Documentation
Digital Skills 2023 (SUF edition)
Nov 8, 2024
Grünangerl, Manuela; Prandner, Dimitri, 2024, "Digital Skills 2023 (SUF edition)", https://doi.org/10.11587/RWYETB, AUSSDA, V2, UNF:6:irPs0+KdZkj0+stLlhAY0A== [fileUNF]
Full edition for scientific use. In 2023, the Digital Skills Austria study examined for the second time the extent to which Austrians are able to orientate themselves, find their way around and shape the digital space themselves. While the first survey in 2022 focused on measurin...
10838_mr_de_v2_0.pdf
Nov 8, 2024 - Digital Skills 2023 (SUF edition)
Adobe PDF - 294.8 KB - MD5: c771882803c9618911fd205470230738
DocumentationMethod report
Method report
10838_readme.pdf
Nov 8, 2024 - Digital Skills 2023 (SUF edition)
Adobe PDF - 80.8 KB - MD5: 35f378ab51599a1c7b66db77fca29b72
Documentation
Data curation protocol
Digital Skills 2022 (SUF edition)
Nov 8, 2024
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 tar...
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
10838_co_de_v1_0.pdf
Nov 4, 2024 - Digital Skills 2023 (SUF edition)
Adobe PDF - 388.9 KB - MD5: d91f50288328feb15e1b57c348d79f75
CodebookDocumentation
Codebook
10838_da_de_v1_0.tab
Nov 4, 2024 - Digital Skills 2023 (SUF edition)
Tabular Data - 2.3 MB - 307 Variables, 2147 Observations - UNF:6:i3pEMIifsD3k6Vb+vtp4OQ==
DataSTATA
Core data file - STATA format - 307 Variables, 2147 Observations
10838_da_de_v1_0.zip
Nov 4, 2024 - Digital Skills 2023 (SUF edition)
ZIP Archive - 288.9 KB - MD5: b56cee1b0726cc8599005ef1f23a1d2b
CSVData
Core data file - compressed CSV format - 307 Variables, 2147 Observations
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