Metrics
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321 to 330 of 5,886 Results
Tabular Data - 32.3 MB - 249 Variables, 68144 Observations - UNF:6:rpXAW/ND699DojaktYsWeg==
DataSTATA
Core data file, imputed data - STATA format - 249 Variables, 68144 Observations
Unknown - 5.0 MB - MD5: a109ae3ed1c8d894f29ab8450b921bcc
DataSPSS
Core data file, imputed data - compressed SPSS format - 249 Variables, 68144 Observations
Adobe PDF - 150.5 KB - MD5: 96690cc202e0f1bd5a8f4cc5ed53f545
Documentation
Interviewer manual Utilisation of the PC, Teleworking, Job Changing
Adobe PDF - 593.9 KB - MD5: 7f07146d40374651404290a21c70dd83
Documentation
Interviewer manual Standard Survey
Adobe PDF - 137.7 KB - MD5: eeee16622fa6542d2e75159e11b1403b
DocumentationMethod report
Method report
Adobe PDF - 132.7 KB - MD5: c591eb7241634bcbb4941565b78fd151
DocumentationMethod report
Concepts and definitions
Adobe PDF - 3.3 MB - MD5: c9d95039b8b6c9570805fe72060b1a53
Documentation
Remarks to the questionnaire
Adobe PDF - 576.7 KB - MD5: 5f35debe746d9c775cb4a4ff458ed04c
DocumentationQuestionnaire
Questionnaire
Tabular Data - 92.1 KB - 3 Variables, 2264 Observations - UNF:6:RUeWgiejeJeIqdtqLQT7Qg==
Documentation
Variable identifiers and descriptions - machine-readable
Nov 8, 2024 - Public
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...
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