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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1 to 10 of 388 Results
AUTNES Pre- and Post Panel Study 2013 (SUF edition)
Jun 10, 2026
Kritzinger, Sylvia; Zeglovits, Eva; Aichholzer, Julian; Glantschnigg, Christian; Glinitzer, Konstantin; Johann, David; Thomas, Kathrin; Wagner, Markus, 2020, "AUTNES Pre- and Post Panel Study 2013 (SUF edition)", https://doi.org/10.11587/LBAHIZ, AUSSDA, V3, UNF:6:pF7xXM+kUSAQayFSOTXHvQ== [fileUNF]
Full edition for scientific use. This dataset contains political preferences of Austrian citizens eligible to vote at the national parliamentary election on 29.9.2013 (age 16 and older). The pre-election survey was conducted in the period 5.11.2012 – 30.6.2013 through personal interviews (CAPI); people were then re-interviewed after the election in...
10056_readme.pdf
Jun 10, 2026 - AUTNES Pre- and Post Panel Study 2013 (SUF edition)
Adobe PDF - 190.1 KB - MD5: 3f1e15104b81386bbf61f88c5022ae8a
Documentation
Data curation protocol
10055_readme.pdf
Jun 10, 2026 - AUTNES Rolling-Cross-Section Panel Study 2013 (SUF edition)
Adobe PDF - 312.0 KB - MD5: 3256cf4cb18d98a0512675c63554449e
Documentation
Data curation protocol
AUTNES Rolling-Cross-Section Panel Study 2013 (SUF edition)
Jun 10, 2026
Kritzinger, Sylvia; Johann, David; Aichholzer, Julian; Glinitzer, Konstantin; Glantschnigg, Christian; Oberluggauer, Patricia; Thomas, Kathrin; Wagner, Markus; Zeglovits, Eva, 2020, "AUTNES Rolling-Cross-Section Panel Study 2013 (SUF edition)", https://doi.org/10.11587/2EFFLY, AUSSDA, V3, UNF:6:lTgN4AJnVmx4dtfyyj2NVw== [fileUNF]
Full edition for scientific use. This dataset contains political preferences of Austrian citizens eligible to vote (age 16 and older) before (wave 1) and after (waves 2 and 3) the national parliamentary election on 29.9.2013. Telephone interviews (CATI) were conducted in the periods 5.8. – 27.9.2013 (wave 1), 1.10. – 4.11.2013 (wave 2) and 14.8. –...
AUTNES Multi-Mode Panel Study 2017 (SUF edition)
May 28, 2026
Kritzinger, Sylvia; Aichholzer, Julian; Büttner, Nico; Eberl, Jakob-Moritz; Meyer, Thomas M.; Plescia, Carolina; Wagner, Markus; Morisi, Davide; Boomgaarden, Hajo; Müller, Wolfgang C., 2018, "AUTNES Multi-Mode Panel Study 2017 (SUF edition)", https://doi.org/10.11587/NXDDPE, AUSSDA, V3, UNF:6:G8QobLdA/xYZ6XpwsdUgVQ== [fileUNF]
Full edition for scientific use. The AUTNES Multi-Mode Panel Study 2017 is a three-wave panel that focuses on the Austrian National Parliamentary Election held on 15 October 2017. This survey is part of the Austrian National Election Study (AUTNES).
10025_readme.pdf
May 28, 2026 - AUTNES Multi-Mode Panel Study 2017 (SUF edition)
Adobe PDF - 84.9 KB - MD5: 3222fb83570e04c05f8e7e3f8a217af7
Documentation
Data curation protocol
AUTNES Online Panel Study 2017-2024 (SUF edition)
Apr 28, 2026
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, V3, UNF:6:xqDlSL4URGQUTM4lIkYgdw== [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 (AUTNES).
10874_qu_en_v2_1.pdf
Apr 28, 2026 - AUTNES Online Panel Study 2017-2024 (SUF edition)
Adobe PDF - 6.4 MB - MD5: 798caf390b3ce610d38b162b80376d70
DocumentationQuestionnaire
Questionnaire – English
10874_readme.pdf
Apr 28, 2026 - AUTNES Online Panel Study 2017-2024 (SUF edition)
Adobe PDF - 64.2 KB - MD5: 82f1c14135d8b9cd0c9a1e89525d22d5
Documentation
Data curation protocol
10874_da_de_v2_0.tab
Mar 31, 2026 - AUTNES Online Panel Study 2017-2024 (SUF edition)
Tabular Data - 99.2 MB - 6501 Variables, 11472 Observations - UNF:6:Sdvf80Z71vQRd/LzV4pBSg==
DataSTATA
Core data file – STATA format – 6501 Variables, 11472 Observations – German
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