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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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
10874_da_de_v2_0.zip
Mar 31, 2026 - AUTNES Online Panel Study 2017-2024 (SUF edition)
ZIP Archive - 12.1 MB - MD5: eabb0c3a11d4963fdd9511916633f58e
CSVData
Core data file – compressed CSV format – 6501 Variables, 11472 Observations – German
10874_da_de_v2_0.zsav
Mar 31, 2026 - AUTNES Online Panel Study 2017-2024 (SUF edition)
Unknown - 30.2 MB - MD5: b1f77de8922a18cbc2ed0901b3e1e898
DataSPSS
Core data file – compressed SPSS format – 6501 Variables, 11472 Observations – German
10874_da_en_v2_0.tab
Mar 31, 2026 - AUTNES Online Panel Study 2017-2024 (SUF edition)
Tabular Data - 97.3 MB - 6501 Variables, 11472 Observations - UNF:6:LMLC5K0gM7MKhmW/K3zZjA==
DataSTATA
Core data file – compressed STATA format – 6501 Variables, 11472 Observations – English
10874_da_en_v2_0.zip
Mar 31, 2026 - AUTNES Online Panel Study 2017-2024 (SUF edition)
ZIP Archive - 12.1 MB - MD5: 7cd81c79cba7536af781a2f9d71a5c14
CSVData
Core data file – compressed CSV format – 6501 Variables, 11472 Observations – English
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