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

1,731 to 1,740 of 3,691 Results

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
10272_sx_en_v1_0.do Nov 4, 2020 - Replication Data for: Do European elections enhance satisfaction with European Union democracy? Stata Syntax - 46.3 KB - MD5: 79ee6ea056576a11dcf94360701fde8d CodeDocumentation STATA replication syntax
10083_da01_en_v1_0.tab Oct 21, 2020 - EOSC Pillar "National Initiatives" Survey (SUF edition) Tabular Data - 442.4 KB - 511 Variables, 688 Observations - UNF:6:pg47Mjdk92veFHxFSYvjKA== DataSTATA Core data file - STATA format - 511 Variables, 688 Observations - wide format (observation unit: organisation)
10083_da01_en_v1_0.zsav Oct 21, 2020 - EOSC Pillar "National Initiatives" Survey (SUF edition) Unknown - 159.6 KB - MD5: efcb4655d4bd5239b339bc1971097f11 DataSPSS Core data file - compressed SPSS format - 511 Variables, 688 Observations - wide format (observation unit: organisation)
10083_da02_en_v1_0.tab Oct 21, 2020 - EOSC Pillar "National Initiatives" Survey (SUF edition) Tabular Data - 110.2 KB - 136 Variables, 353 Observations - UNF:6:08uTp+XpbZycbn0USpwPGA== DataSTATA Core data file - STATA format - 136 Variables, 353 Observations - long format (observation unit: services of e-infrastructures)

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

10272_sx_en_v1_0.do

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

Stata Syntax - 46.3 KB -

CodeDocumentation

STATA replication syntax

10083_da01_en_v1_0.tab

Oct 21, 2020 - EOSC Pillar "National Initiatives" Survey (SUF edition)

Tabular Data - 442.4 KB - 511 Variables, 688 Observations -

DataSTATA

Core data file - STATA format - 511 Variables, 688 Observations - wide format (observation unit: organisation)

10083_da01_en_v1_0.zsav

Oct 21, 2020 - EOSC Pillar "National Initiatives" Survey (SUF edition)

Unknown - 159.6 KB -

DataSPSS

Core data file - compressed SPSS format - 511 Variables, 688 Observations - wide format (observation unit: organisation)

10083_da02_en_v1_0.tab

Oct 21, 2020 - EOSC Pillar "National Initiatives" Survey (SUF edition)

Tabular Data - 110.2 KB - 136 Variables, 353 Observations -

DataSTATA

Core data file - STATA format - 136 Variables, 353 Observations - long format (observation unit: services of e-infrastructures)

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