AUSSDA

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Publication Year: 2021

751 to 760 of 878 Results

10740_da_de_v1_0.zsav Apr 19, 2021 - DiKoS – Analysis and Development of Digital Competencies of Students (OA edition) Unknown - 464.4 KB - MD5: a2ba7f5ca12f57f9c2e90fc704890262 DataSPSS Core data file - compressed SPSS format - 250 Variables, 4676 Observations
10740_mr_de_v1_0.pdf Apr 19, 2021 - DiKoS – Analysis and Development of Digital Competencies of Students (OA edition) Adobe PDF - 161.4 KB - MD5: 1ec4a868a493cd50a3c7f49a56e13abc DocumentationMethod report Method report
10740_qu_de_v1_0.pdf Apr 19, 2021 - DiKoS – Analysis and Development of Digital Competencies of Students (OA edition) Adobe PDF - 801.7 KB - MD5: fd8a87ffe819e133016e6ce82fc097f1 DocumentationQuestionnaire Questionnaire
10740_vi_de_v1_0.tab Apr 19, 2021 - DiKoS – Analysis and Development of Digital Competencies of Students (OA edition) Tabular Data - 52.1 KB - 3 Variables, 1109 Observations - UNF:6:bgdKqurkKmvjg3+93bgWOQ== Documentation Variable identifiers and descriptions - machine-readable
AUTNES Content Analysis of Party Press Releases 2017 (SUF edition) Apr 9, 2021 - AUTNES Müller, Wolfgang C.; Bodlos, Anita; Ennser-Jedenastik, Laurenz; Gahn, Christina; Graf, Elisabeth; Haselmayer, Martin; Haudum, Teresa; Huber, Lena Maria; Meyer, Thomas M.; Reidinger, Verena, 2021, "AUTNES Content Analysis of Party Press Releases 2017 (SUF edition)", https://doi.org/10.11587/EVSU6G, AUSSDA, V1, UNF:6:xoZ35Wfcr7N5fcP3tlZotQ== [fileUNF] Full edition for scientific use. The AUTNES coding of party press releases covers all press releases that were issued by parties gaining at least two percent of the votes in the national election 2017. The coding procedure applies the AUTNES relational approach of recording subje...
10725_co_en_v1_0.pdf Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases 2017 (SUF edition) Adobe PDF - 303.6 KB - MD5: 47b14762f09dde29530ecbef6740c280 CodebookDocumentation Codebook
10725_da_en_v1_0.tab Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases 2017 (SUF edition) Tabular Data - 1.2 MB - 32 Variables, 1073 Observations - UNF:6:Yl9zcElS3sAZU7+xMl+UjA== DataSTATA Core data file - STATA format - 32 Variables, 1073 Observations
10725_da_en_v1_0.zip Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases 2017 (SUF edition) ZIP Archive - 352.6 KB - MD5: ce34d51517daa4d3c8d90973531ce5d7 CSVData Core data file - compressed csv format - 32 Variables, 1073 Observations
10725_da_en_v1_0.zsav Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases 2017 (SUF edition) Unknown - 1.4 MB - MD5: 75f2d5625ec5ef1872a3a0a582a19665 DataSPSS Core data file - compressed SPSS format - 32 Variables, 1073 Observations
10725_vi_en_v1_0.tab Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases 2017 (SUF edition) Tabular Data - 1000.8 KB - 3 Variables, 27734 Observations - UNF:6:CbLGDbA4M7EjhY/3qduXAw== Documentation Variable identifiers and descriptions - machine-readable

10740_da_de_v1_0.zsav

Apr 19, 2021 - DiKoS – Analysis and Development of Digital Competencies of Students (OA edition)

Unknown - 464.4 KB -

DataSPSS

Core data file - compressed SPSS format - 250 Variables, 4676 Observations

10740_mr_de_v1_0.pdf

Apr 19, 2021 - DiKoS – Analysis and Development of Digital Competencies of Students (OA edition)

Adobe PDF - 161.4 KB -

DocumentationMethod report

Method report

10740_qu_de_v1_0.pdf

Apr 19, 2021 - DiKoS – Analysis and Development of Digital Competencies of Students (OA edition)

Adobe PDF - 801.7 KB -

DocumentationQuestionnaire

Questionnaire

10740_vi_de_v1_0.tab

Apr 19, 2021 - DiKoS – Analysis and Development of Digital Competencies of Students (OA edition)

Tabular Data - 52.1 KB - 3 Variables, 1109 Observations -

Documentation

Variable identifiers and descriptions - machine-readable

AUTNES Content Analysis of Party Press Releases 2017 (SUF edition)

Apr 9, 2021 - AUTNES

Müller, Wolfgang C.; Bodlos, Anita; Ennser-Jedenastik, Laurenz; Gahn, Christina; Graf, Elisabeth; Haselmayer, Martin; Haudum, Teresa; Huber, Lena Maria; Meyer, Thomas M.; Reidinger, Verena, 2021, "AUTNES Content Analysis of Party Press Releases 2017 (SUF edition)", https://doi.org/10.11587/EVSU6G, AUSSDA, V1, UNF:6:xoZ35Wfcr7N5fcP3tlZotQ== [fileUNF]

Full edition for scientific use. The AUTNES coding of party press releases covers all press releases that were issued by parties gaining at least two percent of the votes in the national election 2017. The coding procedure applies the AUTNES relational approach of recording subje...

10725_co_en_v1_0.pdf

Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases 2017 (SUF edition)

Adobe PDF - 303.6 KB -

CodebookDocumentation

Codebook

10725_da_en_v1_0.tab

Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases 2017 (SUF edition)

Tabular Data - 1.2 MB - 32 Variables, 1073 Observations -

DataSTATA

Core data file - STATA format - 32 Variables, 1073 Observations

10725_da_en_v1_0.zip

Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases 2017 (SUF edition)

ZIP Archive - 352.6 KB -

CSVData

Core data file - compressed csv format - 32 Variables, 1073 Observations

10725_da_en_v1_0.zsav

Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases 2017 (SUF edition)

Unknown - 1.4 MB -

DataSPSS

Core data file - compressed SPSS format - 32 Variables, 1073 Observations

10725_vi_en_v1_0.tab

Apr 9, 2021 - AUTNES Content Analysis of Party Press Releases 2017 (SUF edition)

Tabular Data - 1000.8 KB - 3 Variables, 27734 Observations -

Documentation

Variable identifiers and descriptions - machine-readable

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