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811 to 820 of 1,080 Results
10735_mr_de_v1_0.pdf
May 17, 2021 - CO2-relevant environmental behaviour (SUF edition)
Adobe PDF - 301.5 KB - MD5: 2e7fdd663b16223998e1c6ae7fb2bca8
DocumentationMethod report
Method report
10735_qu_de_v1_0.pdf
May 17, 2021 - CO2-relevant environmental behaviour (SUF edition)
Adobe PDF - 536.6 KB - MD5: 08a98200f8a88912abf932b860cd5a58
DocumentationQuestionnaire
Questionnaire
10735_vi_de_v1_0.tab
May 17, 2021 - CO2-relevant environmental behaviour (SUF edition)
Tabular Data - 37.0 KB - 3 Variables, 996 Observations - UNF:6:FjENS5DqTPCrRcafraW+yg==
Documentation
Variable identifiers and descriptions - machine-readable
Document analysis of scientific journal articles at the Vienna University of Economics and Business 2016 (OA edition)
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...
10743_co_de_v1_0.pdf
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
CodebookDocumentation
Codebook
10743_da01_de_v1_0.tab
Apr 26, 2021 - Document analysis of scientific journal articles at the Vienna University of Economics and Business 2016 (OA edition)
Tabular Data - 85.1 KB - 1 Variables, 624 Observations - UNF:6:Iq7bAFrxMTSp7AYBf9KobQ==
CSVData
Core data file - csv format - 26 Variables, 624 Observations
10743_da02_de_v1_0.tab
Apr 26, 2021 - Document analysis of scientific journal articles at the Vienna University of Economics and Business 2016 (OA edition)
Tabular Data - 53.0 KB - 1 Variables, 596 Observations - UNF:6:7mrRWSq7SvHR3qW9qlGoSg==
CSVData
Core data file - csv format - 24 Variables, 596 Observations
DiKoS – Analysis and Development of Digital Competencies of Students (OA edition)
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...
10740_co_de_v1_0.pdf
Apr 19, 2021 - DiKoS – Analysis and Development of Digital Competencies of Students (OA edition)
Adobe PDF - 466.7 KB - MD5: 2f792ae5dcaeb09e3ba3fe149678a4e1
CodebookDocumentation
Codebook
10740_da_de_v1_0.tab
Apr 19, 2021 - DiKoS – Analysis and Development of Digital Competencies of Students (OA edition)
Tabular Data - 4.6 MB - 250 Variables, 4676 Observations - UNF:6:5bDIRl5QtgwvwuB1bu2XCA==
DataSTATA
Core data file - STATA format - 250 Variables, 4676 Observations
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