AUTNES - Austrian National Election Study is engaged in the comprehensive social science analysis of Austrian national elections. AUTNES is part of the Vienna Center for Electoral Research (VieCER).
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251 to 260 of 374 Results
AUTNES Content Analysis of Party Manifestos 2013 (SUF edition)
Jan 28, 2021
Müller, Wolfgang C.; Bodlos, Anita; Dolezal, Martin; Eder, Nikolaus; Ennser-Jedenastik, Laurenz; Kaltenegger, Matthias; Meyer, Thomas M.; Praprotnik, Katrin; Winkler, Anna Katharina, 2021, "AUTNES Content Analysis of Party Manifestos 2013 (SUF edition)", https://doi.org/10.11587/YJT5WA, AUSSDA, V1, UNF:6:iWOhIDXh6dBFX98LPU4FnA== [fileUNF]
Full edition for scientific use. The AUTNES dataset on party manifestos covers the manifestos of the relevant parties that competed in the Austrian national elections 2013. All natural sentences within the manifestos are part of the dataset. The units of analysis are standardized...
10074_co_en_v1_0.pdf
Jan 28, 2021 - AUTNES Content Analysis of Party Manifestos 2013 (SUF edition)
Adobe PDF - 289.6 KB - MD5: 701cf35e47cc99436a02c3a9045b844c
CodebookDocumentation
Codebook
10074_da_en_v1_0.tab
Jan 28, 2021 - AUTNES Content Analysis of Party Manifestos 2013 (SUF edition)
Tabular Data - 8.1 MB - 33 Variables, 21042 Observations - UNF:6:AZ6QThevg2jGp46zbElhKQ==
DataSTATA
Core data file - STATA format - 33 Variables, 21042 Observations
10074_da_en_v1_0.zip
Jan 28, 2021 - AUTNES Content Analysis of Party Manifestos 2013 (SUF edition)
ZIP Archive - 661.2 KB - MD5: 320d89291ad4a65443b4ff877a62da7b
CSVData
Core data file - compressed csv format - 33 Variables, 21042 Observations
10074_da_en_v1_0.zsav
Jan 28, 2021 - AUTNES Content Analysis of Party Manifestos 2013 (SUF edition)
Unknown - 1.9 MB - MD5: c747798f18b729921e50bd909b3ab984
DataSPSS
Core data file - SPSS format - 33 Variables, 21042 Observations
10074_vi_en_v1_0.tab
Jan 28, 2021 - AUTNES Content Analysis of Party Manifestos 2013 (SUF edition)
Tabular Data - 445.1 KB - 3 Variables, 11911 Observations - UNF:6:yjFhsObnuv4OUh7FcwKMng==
Documentation
Variable identifiers and descriptions - machine-readable
AUTNES Content Analysis of Party Manifestos 2017 (SUF edition)
Jan 27, 2021
Müller, Wolfgang C.; Bodlos, Anita; Ennser-Jedenastik, Laurenz; Gahn, Christina; Graf, Elisabeth; Haselmayer, Martin; Haudum, Teresa; Huber, Lena Maria; Meyer, Thomas M.; Wurzer, Katharina, 2021, "AUTNES Content Analysis of Party Manifestos 2017 (SUF edition)", https://doi.org/10.11587/9LZSK5, AUSSDA, V1, UNF:6:sJ8nnBvgrK1dCf0zHFMfHg== [fileUNF]
Full edition for scientific use. The AUTNES dataset on party manifestos covers the manifestos of the relevant parties that competed in the Austrian national election 2017. All natural sentences within the manifestos are part of the dataset. The units of analysis are standardized...
10723_co_en_v1_0.pdf
Jan 27, 2021 - AUTNES Content Analysis of Party Manifestos 2017 (SUF edition)
Adobe PDF - 276.0 KB - MD5: 19451e8f382bbea11eaeeffe6c8c9b21
CodebookDocumentation
Codebook
10723_da_en_v1_0.tab
Jan 27, 2021 - AUTNES Content Analysis of Party Manifestos 2017 (SUF edition)
Tabular Data - 9.1 MB - 18 Variables, 25557 Observations - UNF:6:ghgSt82E7/NmLaTu/9HdEA==
DataSTATA
Core data file - STATA format - 18 Variables, 25557 Observations
10723_da_en_v1_0.zip
Jan 27, 2021 - AUTNES Content Analysis of Party Manifestos 2017 (SUF edition)
ZIP Archive - 811.3 KB - MD5: a6406d18cb41e65340f014b05df81088
CSVData
Core data file - compressed csv format - 18 Variables, 25557 Observations
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