31 to 40 of 361 Results
Nov 28, 2023 -
AUTNES Candidate Survey 2008 (SUF edition)
ZIP Archive - 179.2 KB -
MD5: 305c654c47578e77661d0262e06eaec9
Core data file — compressed CSV format — 270 Variables, 966 Observations – English |
Nov 28, 2023 -
AUTNES Candidate Survey 2008 (SUF edition)
Unknown - 291.1 KB -
MD5: 5b94732d23abae5cc18cffa3d359e07e
Core data file — compressed SPSS format — 270 Variables, 966 Observations – English |
Nov 28, 2023 -
AUTNES Candidate Survey 2008 (SUF edition)
Adobe PDF - 634.4 KB -
MD5: 66a82f04527decacccd541c2621eda2a
Method report and codebook – German |
Nov 28, 2023 -
AUTNES Candidate Survey 2008 (SUF edition)
Adobe PDF - 582.9 KB -
MD5: 6be0f0b7e33efaa05e0836b1778293fe
Method report and codebook – English |
Nov 28, 2023 -
AUTNES Candidate Survey 2008 (SUF edition)
Adobe PDF - 919.1 KB -
MD5: b6efccfb831b396897aa81515a06c3b9
Questionnaire – German |
Nov 28, 2023 -
AUTNES Candidate Survey 2008 (SUF edition)
Adobe PDF - 924.2 KB -
MD5: a78d9c3d777a568215bd25fd5fa88ba9
Questionnaire – English |
Nov 28, 2023 -
AUTNES Candidate Survey 2008 (SUF edition)
Adobe PDF - 93.8 KB -
MD5: 534edc837b1d3443c83992f73e60cc5b
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Nov 28, 2023 -
AUTNES Candidate Survey 2008 (SUF edition)
Tabular Data - 49.5 KB - 3 Variables, 1579 Observations - UNF:6:y+THdSYKa67NLfxrgBRX+w==
Variable identifiers and descriptions — machine-readable – German |
Nov 28, 2023 -
AUTNES Candidate Survey 2008 (SUF edition)
Tabular Data - 50.7 KB - 3 Variables, 1597 Observations - UNF:6:S3Tw/jAjtesRc/jrBdCizw==
Variable identifiers and descriptions — machine-readable – English |
Aug 24, 2023
Müller, Wolfgang C.; Bodlos, Anita; Dolezal, Martin; Eder, Nikolaus; Ennser-Jedenastik, Laurenz; Gahn, Christina; Graf, Elisabeth; Haselmayer, Martin; Haudum, Teresa; Huber, Lena Maria; Kaltenegger, Matthias; Meyer, Thomas M.; Praprotnik, Katrin; Winkler, Anna Katharina; Wurzer, Katharina, 2020, "AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition)", https://doi.org/10.11587/DEHBL2, AUSSDA, V2, UNF:6:p2ne5b60LkqZaaCz5FXl9Q== [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 2002-2017. All natural sentences within the manifestos are part of the dataset. The units of analysis are standar... |