AUTNES

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).

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

91 to 100 of 388 Results

10059_vi_de_v1_0.tab Nov 28, 2023 - AUTNES Candidate Survey 2008 (SUF edition) Tabular Data - 49.5 KB - 3 Variables, 1579 Observations - UNF:6:y+THdSYKa67NLfxrgBRX+w== Documentation Variable identifiers and descriptions — machine-readable – German
10059_vi_en_v1_0.tab Nov 28, 2023 - AUTNES Candidate Survey 2008 (SUF edition) Tabular Data - 50.7 KB - 3 Variables, 1597 Observations - UNF:6:S3Tw/jAjtesRc/jrBdCizw== Documentation Variable identifiers and descriptions — machine-readable – English
AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition) 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 standardized statements derived from these natural sentences by means of a se...
10724_da_en_v1_0.zip Aug 24, 2023 - AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition) ZIP Archive - 2.4 MB - MD5: eff84394ed418ec723fa6ebb813958f1 CSVData Core data file - compressed CSV format - 33 Variables, 77573 Observations
AUTNES Manual Content Analysis of the Media Coverage 2013: Actors and Issues Add-on (SUF edition) Oct 6, 2022 Gründl, Johann; Oberluggauer, Patricia; Eberl, Jakob-Moritz; Glantschnigg, Christian; Kritzinger, Sylvia; Boomgaarden, Hajo G., 2022, "AUTNES Manual Content Analysis of the Media Coverage 2013: Actors and Issues Add-on (SUF edition)", https://doi.org/10.11587/BTEFJH, AUSSDA, V1, UNF:6:rADn4Yz4W0fvav/dwW1KMw== [fileUNF] Full edition for scientific use. This study adds to the existing manual content analysis on the media coverage of the 2013 Austrian national election. It emphasizes political actors, issues, and their evaluation. 8998 contributions from 14 print and TV media (selected according to various criteria in order to represent the Austrian media landscape...
10066_co_de_v1_0.pdf Oct 6, 2022 - AUTNES Manual Content Analysis of the Media Coverage 2013: Actors and Issues Add-on (SUF edition) Adobe PDF - 590.1 KB - MD5: 9efb13bd33b2e1251d98eadb8ed8e605 CodebookDocumentation Codebook (German)
10066_da_de_v1_0.tab Oct 6, 2022 - AUTNES Manual Content Analysis of the Media Coverage 2013: Actors and Issues Add-on (SUF edition) Tabular Data - 2.7 MB - 75 Variables, 8998 Observations - UNF:6:hf5VXkDRrY8AfNYfVjuv2g== DataSTATA Core data file - STATA format - 75 Variables, 8998 Observations (German)
10066_da_de_v1_0.zip Oct 6, 2022 - AUTNES Manual Content Analysis of the Media Coverage 2013: Actors and Issues Add-on (SUF edition) ZIP Archive - 408.3 KB - MD5: 0b5065b25da5f3ef75fba258bb90f74c CSVData Core data file - compressed CSV format - 75 Variables, 8998 Observations (German)
10066_da_de_v1_0.zsav Oct 6, 2022 - AUTNES Manual Content Analysis of the Media Coverage 2013: Actors and Issues Add-on (SUF edition) Unknown - 659.0 KB - MD5: ef6e6bbd6a8aebbdb2dff74fe3c2e271 DataSPSS Core data file - compressed SPSS format - 75 Variables, 8998 Observations (German)
10066_da_en_v1_0.tab Oct 6, 2022 - AUTNES Manual Content Analysis of the Media Coverage 2013: Actors and Issues Add-on (SUF edition) Tabular Data - 2.7 MB - 75 Variables, 8998 Observations - UNF:6:7qFVNMUiTuNtHyflgGHdgA== DataSTATA Core data file - STATA format - 75 Variables, 8998 Observations (English)

10059_vi_de_v1_0.tab

Nov 28, 2023 - AUTNES Candidate Survey 2008 (SUF edition)

Tabular Data - 49.5 KB - 3 Variables, 1579 Observations -

Documentation

Variable identifiers and descriptions — machine-readable – German

10059_vi_en_v1_0.tab

Nov 28, 2023 - AUTNES Candidate Survey 2008 (SUF edition)

Tabular Data - 50.7 KB - 3 Variables, 1597 Observations -

Documentation

Variable identifiers and descriptions — machine-readable – English

AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition)

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 standardized statements derived from these natural sentences by means of a se...

10724_da_en_v1_0.zip

Aug 24, 2023 - AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition)

ZIP Archive - 2.4 MB -

CSVData

Core data file - compressed CSV format - 33 Variables, 77573 Observations

AUTNES Manual Content Analysis of the Media Coverage 2013: Actors and Issues Add-on (SUF edition)

Oct 6, 2022

Gründl, Johann; Oberluggauer, Patricia; Eberl, Jakob-Moritz; Glantschnigg, Christian; Kritzinger, Sylvia; Boomgaarden, Hajo G., 2022, "AUTNES Manual Content Analysis of the Media Coverage 2013: Actors and Issues Add-on (SUF edition)", https://doi.org/10.11587/BTEFJH, AUSSDA, V1, UNF:6:rADn4Yz4W0fvav/dwW1KMw== [fileUNF]

Full edition for scientific use. This study adds to the existing manual content analysis on the media coverage of the 2013 Austrian national election. It emphasizes political actors, issues, and their evaluation. 8998 contributions from 14 print and TV media (selected according to various criteria in order to represent the Austrian media landscape...

10066_co_de_v1_0.pdf

Oct 6, 2022 - AUTNES Manual Content Analysis of the Media Coverage 2013: Actors and Issues Add-on (SUF edition)

Adobe PDF - 590.1 KB -

CodebookDocumentation

Codebook (German)

10066_da_de_v1_0.tab

Oct 6, 2022 - AUTNES Manual Content Analysis of the Media Coverage 2013: Actors and Issues Add-on (SUF edition)

Tabular Data - 2.7 MB - 75 Variables, 8998 Observations -

DataSTATA

Core data file - STATA format - 75 Variables, 8998 Observations (German)

10066_da_de_v1_0.zip

Oct 6, 2022 - AUTNES Manual Content Analysis of the Media Coverage 2013: Actors and Issues Add-on (SUF edition)

ZIP Archive - 408.3 KB -

CSVData

Core data file - compressed CSV format - 75 Variables, 8998 Observations (German)

10066_da_de_v1_0.zsav

Oct 6, 2022 - AUTNES Manual Content Analysis of the Media Coverage 2013: Actors and Issues Add-on (SUF edition)

Unknown - 659.0 KB -

DataSPSS

Core data file - compressed SPSS format - 75 Variables, 8998 Observations (German)

10066_da_en_v1_0.tab

Oct 6, 2022 - AUTNES Manual Content Analysis of the Media Coverage 2013: Actors and Issues Add-on (SUF edition)

Tabular Data - 2.7 MB - 75 Variables, 8998 Observations -

DataSTATA

Core data file - STATA format - 75 Variables, 8998 Observations (English)

Add Data

Share Dataverse

Link Dataverse

Reset Modifications