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

341 to 350 of 374 Results
Tabular Data - 409.4 KB - 3 Variables, 9725 Observations - UNF:6:TpIWO1UR9tuGDbF2PKB1Gw==
Documentation
Variable identifiers and descriptions - machine-readable (German)
Tabular Data - 394.6 KB - 3 Variables, 9336 Observations - UNF:6:w2xPXjp0vyuf5ti1xlL5/A==
Documentation
Variable identifiers and descriptions - machine-readable (English)
Sep 24, 2019
Kritzinger, Sylvia; Plescia, Carolina; De Sio, Lorenzo; Paparo, Aldo, 2019, "Pre and Post Election Panel Study on Issue Yield and Voters' Priorities in the 2017 Austrian Elections (SUF edition)", https://doi.org/10.11587/5XWPKK, AUSSDA, V1, UNF:6:b9LeJ8EitCAMYUnYxYo5tg== [fileUNF]
Full edition for scientific use. The dataset includes a pre and post election panel study conducted in Austria to investigate positional and valence political issues that have characterized the 2017 Austrian election campaign. The dataset includes of a pre-electoral wave conducte...
Tabular Data - 1.6 MB - 415 Variables, 999 Observations - UNF:6:7mOVL5tk4M+McfMUGEr90Q==
DataStata
Core data file - STATA format - 415 Variables, 999 Observations
Tabular Data - 914.1 KB - 415 Variables, 999 Observations - UNF:6:7mOVL5tk4M+McfMUGEr90Q==
Data
Unknown - 262.2 KB - MD5: b49978a1f34e9b1f2b2dc5b8347ab49b
DataSPSS
Core data file - compressed SPSS format - 415 Variables, 999 Observations
Adobe PDF - 856.7 KB - MD5: d1667b0308602867c7804b69d4446e90
CodebookDocumentationMethod report
Documentation: Method report and Codebook
Adobe PDF - 86.0 KB - MD5: 3f0be92e612827f62734ed09240cd7ae
Documentation
How to merge Austrian data with comparative ICCP dataset
Adobe PDF - 445.3 KB - MD5: 01fb08337c2cc0a9087142d9f1dbc888
DocumentationQuestionnaire
Questionnaires - German
Stata Syntax - 44.0 KB - MD5: a278b616266958a113a1a248358247c3
Code
ICCP-Aggregate level data processing (Linking Austrian ICCP data to other countries' ICCP datasets at the aggregate level)
Add Data

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

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.