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721 to 730 of 991 Results
Adobe PDF - 536.6 KB - MD5: 08a98200f8a88912abf932b860cd5a58
DocumentationQuestionnaire
Questionnaire
Tabular Data - 37.0 KB - 3 Variables, 996 Observations - UNF:6:FjENS5DqTPCrRcafraW+yg==
Documentation
Variable identifiers and descriptions - machine-readable
Apr 26, 2021
Seyffertitz, Thomas; Katzmayr, Michael, 2021, "Document analysis of scientific journal articles at the Vienna University of Economics and Business 2016 (OA edition)", https://doi.org/10.11587/7P6VWS, AUSSDA, V1, UNF:6:IXSULcGKXpiMgWL3u51cqA== [fileUNF]
Full edition for public use. With this quantitative analysis of scientific journal articles the authors research what types of research data exist at Vienna University of Economics and Business (WU Vienna) and what kind of data are primarily used by researchers.The analysis was i...
Adobe PDF - 404.6 KB - MD5: 6c9ebac7535f920c3aab38d463ddf7c4
CodebookDocumentation
Codebook
Tabular Data - 85.1 KB - 1 Variables, 624 Observations - UNF:6:Iq7bAFrxMTSp7AYBf9KobQ==
CSVData
Core data file - csv format - 26 Variables, 624 Observations
Tabular Data - 53.0 KB - 1 Variables, 596 Observations - UNF:6:7mrRWSq7SvHR3qW9qlGoSg==
CSVData
Core data file - csv format - 24 Variables, 596 Observations
Apr 19, 2021
Janschitz, Gerlinde; Monitzer, Sonja; Stock, Michaela; Slepcevic-Zach, Peter; Dreisiebner, Gernot; Kopp, Michael, 2021, "DiKoS – Analysis and Development of Digital Competencies of Students (OA edition)", https://doi.org/10.11587/9TJL2Y, AUSSDA, V1, UNF:6:QevFMBrniZ7zIX6lQz5k7g== [fileUNF]
Reduced edition for public use (open access). The DiKoS project of the Science Space Styria aims to analyse the digital competencies of first-year students. For this purpose, first-year students of the winter semester 2019/2020 were asked about their digital competencies in a pap...
Adobe PDF - 466.7 KB - MD5: 2f792ae5dcaeb09e3ba3fe149678a4e1
CodebookDocumentation
Codebook
Tabular Data - 4.6 MB - 250 Variables, 4676 Observations - UNF:6:5bDIRl5QtgwvwuB1bu2XCA==
DataSTATA
Core data file - STATA format - 250 Variables, 4676 Observations
ZIP Archive - 293.8 KB - MD5: 5e517038b9c747e8dddfe6bbc5043c0f
CSVData
Core data file - compressed CSV format - 250 Variables, 4676 Observations
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