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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 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_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
10838_da_de_v1_0.zsav
Nov 4, 2024 - Digital Skills 2023 (SUF edition)
Unknown - 353.9 KB - MD5: 465f64458798c3c267a33993a95d2d33
DataSPSS
Core data file - compressed SPSS format - 307 Variables, 2147 Observations
10838_co_de_v1_0.pdf
Nov 4, 2024 - Digital Skills 2023 (SUF edition)
Adobe PDF - 388.9 KB - MD5: d91f50288328feb15e1b57c348d79f75
CodebookDocumentation
Codebook
10838_qu_de_v1_0.pdf
Nov 4, 2024 - Digital Skills 2023 (SUF edition)
Adobe PDF - 476.5 KB - MD5: 7fbe67533dc7752736d7e2f1a4b861ed
DocumentationQuestionnaire
Questionnaire
10838_ta_de_v1_0.pdf
Nov 4, 2024 - Digital Skills 2023 (SUF edition)
Adobe PDF - 724.3 KB - MD5: 170d467027590735e2320ed704c70c61
DocumentationTabulation report
Tabulation report
10838_vi_de_v1_0.tab
Nov 4, 2024 - Digital Skills 2023 (SUF edition)
Tabular Data - 89.0 KB - 3 Variables, 1961 Observations - UNF:6:CLLWJ9m5JED9H6IYM3Z11A==
Documentation
Variable identifiers and descriptions - machine-readable
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