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

281 to 290 of 374 Results
10096_mr_en_v1_0.pdf
10096_mr_en_v1_0.pdf
Aug 27, 2020 - AUTNES Online Panel Study 2017-2019 (SUF Edition)
Adobe PDF - 669.9 KB - MD5: b913bdd1955d0bcbe6c6adc0135e5966
DocumentationMethod report
Method report
10096_om_en_v1_0.zip
Aug 27, 2020 - AUTNES Online Panel Study 2017-2019 (SUF Edition)
ZIP Archive - 72.8 KB - MD5: a1a3ef03ac6a05913db4a3adf4004cc9
Documentation
List of variables in waves 1-13 (zipped Excel.xlsx)
10096_qu_de_v1_0.pdf
10096_qu_de_v1_0.pdf
Aug 27, 2020 - AUTNES Online Panel Study 2017-2019 (SUF Edition)
Adobe PDF - 4.4 MB - MD5: 7e0ac2441f4f53c058552f0481ab6215
DocumentationQuestionnaire
Questionnaire (German)
10096_qu_en_v1_0.pdf
10096_qu_en_v1_0.pdf
Aug 27, 2020 - AUTNES Online Panel Study 2017-2019 (SUF Edition)
Adobe PDF - 4.3 MB - MD5: d4ecb3ce167f774d0ab343abf052bf1e
DocumentationQuestionnaire
Questionnaire (English)
10096_vi_de_v1_0.tab
Aug 27, 2020 - AUTNES Online Panel Study 2017-2019 (SUF Edition)
Tabular Data - 709.2 KB - 3 Variables, 17481 Observations - UNF:6:7cSE1QmR9m4S8Hdr1923mw==
Documentation
Variable identifiers and descriptions - machine-readable - German
10096_vi_en_v1_0.tab
Aug 27, 2020 - AUTNES Online Panel Study 2017-2019 (SUF Edition)
Tabular Data - 630.9 KB - 3 Variables, 15507 Observations - UNF:6:V811diLU62ONWu7u1md5zg==
Documentation
Variable identifiers and descriptions - machine-readable - English
AUTNES Online Panel Study 2017 (SUF edition)
AUTNES Online Panel Study 2017 (SUF edition)
Aug 27, 2020
Wagner, Markus; Aichholzer, Julian; Eberl, Jakob-Moritz; Meyer, Thomas M.; Berk, Nicolai; Büttner, Nico; Boomgaarden, Hajo; Kritzinger, Sylvia; Müller, Wolfgang C., 2018, "AUTNES Online Panel Study 2017 (SUF edition)", https://doi.org/10.11587/I7QIYJ, AUSSDA, V4, UNF:6:qXpb3Rjb7GgLHw7J3wNrEA== [fileUNF]
Full edition for scientific use. The AUTNES Online Panel Study 2017 is a six-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).
10017_da_de_v2_0.tab
Aug 27, 2020 - AUTNES Online Panel Study 2017 (SUF edition)
Tabular Data - 11.2 MB - 1433 Variables, 4453 Observations - UNF:6:BbU4Dfm2KNYowUDIpfp23g==
DataSTATA
Core data file - STATA format - 1433 Variables, 4453 Observations - German
10017_da_de_v2_0.zsav
Aug 27, 2020 - AUTNES Online Panel Study 2017 (SUF edition)
Unknown - 4.8 MB - MD5: 29065710ec50356a973797409b759cf6
SPSSSTATA
Core data file - compressed SPSS format - 1433 Variables, 4453 Observations - German
10017_da_en_v2_0.tab
Aug 27, 2020 - AUTNES Online Panel Study 2017 (SUF edition)
Tabular Data - 11.2 MB - 1433 Variables, 4453 Observations - UNF:6:BbU4Dfm2KNYowUDIpfp23g==
DataSTATA
Core data file - STATA format - 1433 Variables, 4453 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.