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AUTNES Content Analysis of Party Websites 2013 (SUF edition)
Aug 23, 2022
Müller, Wolfgang C.; Bodlos, Anita; Dolezal, Martin; Eder, Nikolaus; Ennser-Jedenastik, Laurenz; Kaltenegger, Matthias; Meyer, Thomas M.; Praprotnik, Katrin; Winkler, Anna Katharina, 2022, "AUTNES Content Analysis of Party Websites 2013 (SUF edition)", https://doi.org/10.11587/TQVSLQ, AUSSDA, V1, UNF:6:f8LeR/uDPuyE3B0pN6OtzA== [fileUNF]
Full edition for scientific use. The dataset “AUTNES Content Analysis of Party Websites 2013” covers all party websites of parties gaining at least two percent of the votes in the 2013 national election. The party websites were saved each day during the six weeks prior to the general election in 2013. The coding units are graphical or textual eleme...
10062_co_en_v1_0.pdf
Aug 23, 2022 - AUTNES Content Analysis of Party Websites 2013 (SUF edition)
Adobe PDF - 529.9 KB - MD5: 1ee2df8b8559808a74d1d3825af445b5
CodebookDocumentation
Codebook
10062_da_en_v1_0.tab
Aug 23, 2022 - AUTNES Content Analysis of Party Websites 2013 (SUF edition)
Tabular Data - 3.9 MB - 142 Variables, 10015 Observations - UNF:6:SyylsTmmNBrLc4pWCndLNQ==
DataSTATA
Core data file - STATA format - 142 Variables, 10015 Observations
10062_da_en_v1_0.zip
Aug 23, 2022 - AUTNES Content Analysis of Party Websites 2013 (SUF edition)
ZIP Archive - 220.1 KB - MD5: 7185d344ccfd74bf9610f35815bb3afc
CSVData
Core data file - CSV format - 142 Variables, 10015 Observations
10062_da_en_v1_0.zsav
Aug 23, 2022 - AUTNES Content Analysis of Party Websites 2013 (SUF edition)
Unknown - 2.1 MB - MD5: fd285c783fee3f7f8a34880e9b5e12ee
DataSPSS
Core data file - compressed SPSS format - 142 Variables, 10015 Observations
10062_readme.pdf
Aug 23, 2022 - AUTNES Content Analysis of Party Websites 2013 (SUF edition)
Adobe PDF - 47.1 KB - MD5: 3e4a655f461b3f5e21be5c895535fd4f
Documentation
Data curation protocol
10062_vi_en_v1_0.tab
Aug 23, 2022 - AUTNES Content Analysis of Party Websites 2013 (SUF edition)
Tabular Data - 1.7 MB - 3 Variables, 45495 Observations - UNF:6:PQPR9Vmml2jbgvmqasU7/Q==
Documentation
Variable identifiers and descriptions - machine-readable
AUTNES Manual Content Analysis of the Media Coverage 2019 (SUF edition)
Aug 17, 2022
Litvyak, Olga; Balluff, Paul; Müller, Wolfgang C.; Kritzinger, Sylvia; Boomgaarden, Hajo G., 2022, "AUTNES Manual Content Analysis of the Media Coverage 2019 (SUF edition)", https://doi.org/10.11587/FVTDXG, AUSSDA, V1, UNF:6:QQlKkWP+RiV7zGfjV5X6nQ== [fileUNF]
Full edition for scientific use. The dataset comprises data of AUTNES manual content analysis of media coverage of the Austrian National Election held on 29 September 2019. This study is part of the Austrian National Election Study (AUTNES).
10731_co_de_v1_0.pdf
Aug 17, 2022 - AUTNES Manual Content Analysis of the Media Coverage 2019 (SUF edition)
Adobe PDF - 897.1 KB - MD5: 8dae4037c6705b8d2e4f97b93e8e3116
CodebookDocumentation
Codebook (German)
10731_da_en_v1_0.tab
Aug 17, 2022 - AUTNES Manual Content Analysis of the Media Coverage 2019 (SUF edition)
Tabular Data - 2.6 MB - 62 Variables, 6666 Observations - UNF:6:89WBWn9mKlLqAaauaRqSzQ==
DataSTATA
Core data file - STATA format - 62 Variables, 6666 Observations
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