AUSSDA

Metrics

208,002 Downloads

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.

License: AUSSDA Scientific Use Licence for data and CC BY for documentation

1,581 to 1,590 of 3,546 Results

10276_mr_de_v1_0.pdf Dec 18, 2020 - COVID-19 Distance Learning Tyrol (SUF edition) Adobe PDF - 217.6 KB - MD5: 0a0dc909558e9ede85a645e5d22656be DocumentationMethod report Method report
10276_qu_de_v1_0.pdf Dec 18, 2020 - COVID-19 Distance Learning Tyrol (SUF edition) Adobe PDF - 830.0 KB - MD5: 6eeaff56160f784e095791f682aa541d DocumentationQuestionnaire Questionnaire
10276_vi_de_v1_0.tab Dec 18, 2020 - COVID-19 Distance Learning Tyrol (SUF edition) Tabular Data - 68.1 KB - 3 Variables, 1599 Observations - UNF:6:KWB+U/P7xXhJsW3tLqI99w== Documentation Variable identifiers and descriptions - machine-readable
10724_co_en_v1_0.pdf Dec 17, 2020 - AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition) Adobe PDF - 307.6 KB - MD5: 13a8234eba6443709a0ef21f8213d071 CodebookDocumentation Codebook
10724_da_en_v1_0.tab Dec 17, 2020 - AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition) Tabular Data - 29.7 MB - 33 Variables, 77573 Observations - UNF:6:Y6Z5/MsaStVMBoiSBddTAA== DataSTATA Core data file, STATA format - 33 Variables, 77573 Observations
10724_da_en_v1_0.zsav Dec 17, 2020 - AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition) Unknown - 10.4 MB - MD5: 20dd6d0e8385775f2e14eb8806933400 DataSPSS Core data file - compressed SPSS format - 33 Variables, 77573 Observations
10724_mr_en_v1_0.pdf Dec 17, 2020 - AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition) Adobe PDF - 774.1 KB - MD5: b813de2b5968c827a30c4f8d54779ae8 DocumentationMethod report Method report
10724_vi_en_v1_0.tab Dec 17, 2020 - AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition) Tabular Data - 445.1 KB - 3 Variables, 11911 Observations - UNF:6:yjFhsObnuv4OUh7FcwKMng== Documentation Variable identifiers and descriptions - machine-readable
Replication Data for: Do European elections enhance satisfaction with European Union democracy? Nov 4, 2020 - Public Plescia, Carolina; Daoust, Jean-François; Blais, André, 2020, "Replication Data for: Do European elections enhance satisfaction with European Union democracy?", https://doi.org/10.11587/SAU5AJ, AUSSDA, V1, UNF:6:6wDr0GGWtoSAcABGQauopA== [fileUNF] We provide the first individual-level test of whether holding supranational elections in the European Union fosters satisfaction with European Union democracy. First, we examine whether participation at the European Parliament election fosters satisfaction with democracy and whether, among those who participated, a winner–loser gap materializes at...
10272_da_en_v1_0.tab Nov 4, 2020 - Replication Data for: Do European elections enhance satisfaction with European Union democracy? Tabular Data - 1.9 MB - 80 Variables, 17218 Observations - UNF:6:6wDr0GGWtoSAcABGQauopA== DataSTATA Core data file - STATA format - 80 Variables, 17218 Observations

10276_mr_de_v1_0.pdf

Dec 18, 2020 - COVID-19 Distance Learning Tyrol (SUF edition)

Adobe PDF - 217.6 KB -

DocumentationMethod report

Method report

10276_qu_de_v1_0.pdf

Dec 18, 2020 - COVID-19 Distance Learning Tyrol (SUF edition)

Adobe PDF - 830.0 KB -

DocumentationQuestionnaire

Questionnaire

10276_vi_de_v1_0.tab

Dec 18, 2020 - COVID-19 Distance Learning Tyrol (SUF edition)

Tabular Data - 68.1 KB - 3 Variables, 1599 Observations -

Documentation

Variable identifiers and descriptions - machine-readable

10724_co_en_v1_0.pdf

Dec 17, 2020 - AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition)

Adobe PDF - 307.6 KB -

CodebookDocumentation

Codebook

10724_da_en_v1_0.tab

Dec 17, 2020 - AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition)

Tabular Data - 29.7 MB - 33 Variables, 77573 Observations -

DataSTATA

Core data file, STATA format - 33 Variables, 77573 Observations

10724_da_en_v1_0.zsav

Dec 17, 2020 - AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition)

Unknown - 10.4 MB -

DataSPSS

Core data file - compressed SPSS format - 33 Variables, 77573 Observations

10724_mr_en_v1_0.pdf

Dec 17, 2020 - AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition)

Adobe PDF - 774.1 KB -

DocumentationMethod report

Method report

10724_vi_en_v1_0.tab

Dec 17, 2020 - AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition)

Tabular Data - 445.1 KB - 3 Variables, 11911 Observations -

Documentation

Variable identifiers and descriptions - machine-readable

Replication Data for: Do European elections enhance satisfaction with European Union democracy?

Nov 4, 2020 - Public

Plescia, Carolina; Daoust, Jean-François; Blais, André, 2020, "Replication Data for: Do European elections enhance satisfaction with European Union democracy?", https://doi.org/10.11587/SAU5AJ, AUSSDA, V1, UNF:6:6wDr0GGWtoSAcABGQauopA== [fileUNF]

We provide the first individual-level test of whether holding supranational elections in the European Union fosters satisfaction with European Union democracy. First, we examine whether participation at the European Parliament election fosters satisfaction with democracy and whether, among those who participated, a winner–loser gap materializes at...

10272_da_en_v1_0.tab

Nov 4, 2020 - Replication Data for: Do European elections enhance satisfaction with European Union democracy?

Tabular Data - 1.9 MB - 80 Variables, 17218 Observations -

DataSTATA

Core data file - STATA format - 80 Variables, 17218 Observations

Add Data

Share Dataverse

Link Dataverse

Reset Modifications