Metrics
168,972 Downloads
Contact Share
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

1 to 10 of 375 Results
Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
Jul 24, 2025 - Public
Pfaff, Katharina; Kritzinger, Sylvia; Partheymüller, Julia; Conte, Luca; Duschek, Béla; Walcherberger, Christina, 2024, "Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)", https://doi.org/10.11587/BS8ZDC, AUSSDA, V4, UNF:6:ycykwd9saLfypkqIkB6O2A== [fileUNF]
Full edition for scientific use. The Digitize! Online Panel is used for Austrian opinion surveys, which collect data on attitudes, behavior, and understanding of social phenomena or topics such as immigration, attitudes towards work, family, health, or the environment, as well as...
10876_da_de_v4_0.tab
Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
Tabular Data - 1.3 MB - 187 Variables, 1683 Observations - UNF:6:qMahBfWTxYZ7ZEa4E+1GTA==
DataSTATA
Core data file – STATA format – 187 Variables, 1683 Observations – German
10876_da_de_v4_0.zip
Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
ZIP Archive - 214.3 KB - MD5: 75f4b25ad2417aae753e01b1b059170b
CSVData
Core data file – compressed CSV format – 187 Variables, 1683 Observations – German
10876_da_de_v4_0.zsav
Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
Unknown - 300.3 KB - MD5: f37110e691119095b7ee8d8e902603fa
DataSPSS
Core data file – compressed SPSS format – 187 Variables, 1683 Observations – German
10876_da_en_v4_0.tab
Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
Tabular Data - 1.3 MB - 187 Variables, 1683 Observations - UNF:6:OUMtPF2b7Ph7uQZpkE5opw==
DataSTATA
Core data file – STATA format – 187 Variables, 1683 Observations – English
10876_da_en_v4_0.zip
Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
ZIP Archive - 214.2 KB - MD5: 2e8f94c23f15529384ae194b0d807780
CSVData
Core data file – compressed CSV format – 187 Variables, 1683 Observations – English
10876_da_en_v4_0.zsav
Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
Unknown - 295.6 KB - MD5: 944147150bc76dfe56e2efe84abea5a4
DataSPSS
Core data file – compressed SPSS format – 187 Variables, 1683 Observations – English
10876_mr_en_v3_0.pdf
Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
Adobe PDF - 731.0 KB - MD5: 663f74ec4b2c224664d4162724214476
CodebookDocumentationMethod report
Method report and Codebook — English
10876_readme.pdf
Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
Adobe PDF - 59.9 KB - MD5: f401ddb49cf0ee7b2ced44a829c0bbc9
Documentation
Data curation protocol
10876_vi_de_v4_0.tab
Jul 24, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
Tabular Data - 49.1 KB - 3 Variables, 1319 Observations - UNF:6:0kDd95ayAqIn9axIOFaXgA==
Documentation
Variable identifiers and descriptions – machine-readable – German
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.