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.

Advanced Search

11 to 20 of 374 Results
10056_readme.pdf
May 15, 2025 - AUTNES Pre- and Post Panel Study 2013 (SUF edition)
Adobe PDF - 119.5 KB - MD5: 85919df6d9350af82e28f07adc3a0cb1
Documentation
Data curation protocol
10056_vi_de_v3_0.tab
May 15, 2025 - AUTNES Pre- and Post Panel Study 2013 (SUF edition)
Tabular Data - 172.1 KB - 3 Variables, 4732 Observations - UNF:6:4jAd9Hd6bgGFjpzZRFhauQ==
Documentation
Variable identifiers and descriptions – machine-readable – German
10056_vi_en_v3_0.tab
May 15, 2025 - AUTNES Pre- and Post Panel Study 2013 (SUF edition)
Tabular Data - 165.4 KB - 3 Variables, 4477 Observations - UNF:6:06h158vlSClJNzdxq/tbFA==
Documentation
Variable identifiers and descriptions – machine-readable – English
AUTNES Online Panel Study 2017-2024 (SUF edition)
Dec 6, 2024
Partheymüller, Julia; Aichholzer, Julian; Kritzinger, Sylvia; Wagner, Markus; Plescia, Carolina; Eberl, Jakob-Moritz; Meyer, Thomas; Boomgaarden, Hajo; Müller, Wolfgang C., 2024, "AUTNES Online Panel Study 2017-2024 (SUF edition)", https://doi.org/10.11587/HNUFCC, AUSSDA, V1, UNF:6:fPul6K0EtB3CEhJNCLaVqg== [fileUNF]
Full edition for scientific use. The AUTNES Online Panel Study 2017–2024 is a multi-wave panel survey that covers the Austrian National Parliamentary Elections held in October 2017, September 2019, and September 2024. This survey is part of the Austrian National Election Study (A...
10874_da_de_v1_0.tab
Dec 6, 2024 - AUTNES Online Panel Study 2017-2024 (SUF edition)
Tabular Data - 93.4 MB - 6221 Variables, 11184 Observations - UNF:6:GLgTmfbohSPqYr8Xt35Kyw==
DataSTATA
Core data file – STATA format – 6221 Variables, 11184 Observations – German
10874_da_de_v1_0.zip
Dec 6, 2024 - AUTNES Online Panel Study 2017-2024 (SUF edition)
ZIP Archive - 11.8 MB - MD5: e83932d3ac21729279dd646323ad6e58
CSVData
Core data file – compressed CSV format – 6221 Variables, 11184 Observations – German
10874_da_de_v1_0.zsav
Dec 6, 2024 - AUTNES Online Panel Study 2017-2024 (SUF edition)
Unknown - 28.8 MB - MD5: 7b711b640926dd9d7d5bc601edeaef0d
DataSPSS
Core data file – compressed SPSS format – 6221 Variables, 11184 Observations – German
10874_da_en_v1_0.tab
Dec 6, 2024 - AUTNES Online Panel Study 2017-2024 (SUF edition)
Tabular Data - 91.4 MB - 6221 Variables, 11184 Observations - UNF:6:eCIXZZCUoejvO0E7Jg5OJw==
DataSTATA
Core data file – compressed STATA format – 6221 Variables, 11184 Observations – English
10874_da_en_v1_0.zip
Dec 6, 2024 - AUTNES Online Panel Study 2017-2024 (SUF edition)
ZIP Archive - 11.8 MB - MD5: 888cb1be990acfdcc49702f087e70d93
CSVData
Core data file – compressed CSV format – 6221 Variables, 11184 Observations – English
10874_da_en_v1_0.zsav
Dec 6, 2024 - AUTNES Online Panel Study 2017-2024 (SUF edition)
Unknown - 28.5 MB - MD5: 7e1b1d5fda01da2afa7a15caac7e2cd1
DataSPSS
Core data file – compressed SPSS format – 6221 Variables, 11184 Observations – English
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.