831 to 840 of 1,095 Results
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 intended to help provide an overview of the use, creation and applicati... |
Apr 26, 2021 -
Document analysis of scientific journal articles at the Vienna University of Economics and Business 2016 (OA edition)
Adobe PDF - 404.6 KB -
MD5: 6c9ebac7535f920c3aab38d463ddf7c4
Codebook |
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 paper-pencil survey. A total of 80% (n=4.676) of first-year students in t... |
Adobe PDF - 466.7 KB -
MD5: 2f792ae5dcaeb09e3ba3fe149678a4e1
Codebook |
Tabular Data - 4.6 MB - 250 Variables, 4676 Observations - UNF:6:5bDIRl5QtgwvwuB1bu2XCA==
Core data file - STATA format - 250 Variables, 4676 Observations |
ZIP Archive - 293.8 KB -
MD5: 5e517038b9c747e8dddfe6bbc5043c0f
Core data file - compressed CSV format - 250 Variables, 4676 Observations |
Unknown - 464.4 KB -
MD5: a2ba7f5ca12f57f9c2e90fc704890262
Core data file - compressed SPSS format - 250 Variables, 4676 Observations |
Adobe PDF - 161.4 KB -
MD5: 1ec4a868a493cd50a3c7f49a56e13abc
Method report |
Adobe PDF - 801.7 KB -
MD5: fd8a87ffe819e133016e6ce82fc097f1
Questionnaire |
Tabular Data - 52.1 KB - 3 Variables, 1109 Observations - UNF:6:bgdKqurkKmvjg3+93bgWOQ==
Variable identifiers and descriptions - machine-readable |
