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5,421 to 5,430 of 5,471 Results

10021_sx3_en_v1_0.R Feb 19, 2019 - Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation. R Syntax - 1.0 KB - MD5: 77b7aea9eed0aee8e355375ed4ed2073 CodeDocumentation Exemplary analysis in R
10021_sx4_en_v1_0.sas Feb 19, 2019 - Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation. SAS Syntax - 2.4 KB - MD5: bd3595180028bcf512221f1e5721121c CodeDocumentation Exemplary analysis in SAS
10021_sx5_en_v1_0.sps Feb 19, 2019 - Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation. SPSS Syntax - 891 B - MD5: 6081da258105ba36fa9bfb306349660f CodeDocumentation Exemplary analysis in SPSS
Replication Data for: Who is even studying journalism to become a journalist? Jan 16, 2019 - Public Prandner, Dimitri; Moosbrugger, Robert, 2019, "Replication Data for: Who is even studying journalism to become a journalist?", https://doi.org/10.11587/VKYZPD, AUSSDA, V1 The paper addresses the question why people are entering training programs which disseminate knowledge necessary for becoming part of the journalistic profession and how these motives go along with the intention to become a member of the profession. Therefore it draws on data collected among students in journalism related programs in Austria in 201...
10028_da_en_v1_0.zsav Jan 16, 2019 - Replication Data for: Who is even studying journalism to become a journalist? Unknown - 16.6 KB - MD5: 1e698a587ff1a75e3ad9c6cc813fe7df DataSPSS Core data file - compressed SPSS format - 28 Variables, 428 Observations
10028_sx_en_v1_0.sps Jan 16, 2019 - Replication Data for: Who is even studying journalism to become a journalist? SPSS Syntax - 11.2 KB - MD5: 54f1c95feab00a5e7d2a948d5a472a3a Code SPSS replication syntax
AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition) Dec 20, 2018 - AUTNES Aichholzer, Julian; Kritzinger, Sylvia; Wagner, Markus; Berk, Nicolai; Boomgaarden, Hajo; Müller, Wolfgang C., 2018, "AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition)", https://doi.org/10.11587/IMKDZI, AUSSDA, V1, UNF:6:wbe2uytzaJ4+0AGKrK+bgA== [fileUNF] Full edition for scientific use. The survey is based on the Comparative Study of Electoral Systems (CSES) Module 5 and focuses on the Austrian National Parliamentary Election held on 15 October 2017. This survey is part of the Austrian National Election Study (AUTNES).
10013_da_de_v1_0.tab Dec 20, 2018 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition) Tabular Data - 358.1 KB - 118 Variables, 1203 Observations - UNF:6:MDn8g2qc7zz17okG2i5zcQ== DataSTATA Core data file - STATA format - 118 Variables, 1203 Observations - German
10013_da_de_v1_0.zsav Dec 20, 2018 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition) Unknown - 142.9 KB - MD5: d7c3917a3506d03a091876150f24e285 DataSPSS Core data file - compressed SPSS format - 118 Variables, 1203 Observations - German
10013_da_en_v1_0.dta Dec 20, 2018 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition) Stata Binary - 426.2 KB - MD5: b368367caa264b600043b557259e29e7 DataSTATA Core data file - STATA format - 118 Variables, 1203 Observations - English

10021_sx3_en_v1_0.R

Feb 19, 2019 - Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation.

R Syntax - 1.0 KB -

CodeDocumentation

Exemplary analysis in R

10021_sx4_en_v1_0.sas

Feb 19, 2019 - Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation.

SAS Syntax - 2.4 KB -

CodeDocumentation

Exemplary analysis in SAS

10021_sx5_en_v1_0.sps

Feb 19, 2019 - Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation.

SPSS Syntax - 891 B -

CodeDocumentation

Exemplary analysis in SPSS

Replication Data for: Who is even studying journalism to become a journalist?

Jan 16, 2019 - Public

Prandner, Dimitri; Moosbrugger, Robert, 2019, "Replication Data for: Who is even studying journalism to become a journalist?", https://doi.org/10.11587/VKYZPD, AUSSDA, V1

The paper addresses the question why people are entering training programs which disseminate knowledge necessary for becoming part of the journalistic profession and how these motives go along with the intention to become a member of the profession. Therefore it draws on data collected among students in journalism related programs in Austria in 201...

10028_da_en_v1_0.zsav

Jan 16, 2019 - Replication Data for: Who is even studying journalism to become a journalist?

Unknown - 16.6 KB -

DataSPSS

Core data file - compressed SPSS format - 28 Variables, 428 Observations

10028_sx_en_v1_0.sps

Jan 16, 2019 - Replication Data for: Who is even studying journalism to become a journalist?

SPSS Syntax - 11.2 KB -

Code

SPSS replication syntax

AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition)

Dec 20, 2018 - AUTNES

Aichholzer, Julian; Kritzinger, Sylvia; Wagner, Markus; Berk, Nicolai; Boomgaarden, Hajo; Müller, Wolfgang C., 2018, "AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition)", https://doi.org/10.11587/IMKDZI, AUSSDA, V1, UNF:6:wbe2uytzaJ4+0AGKrK+bgA== [fileUNF]

Full edition for scientific use. The survey is based on the Comparative Study of Electoral Systems (CSES) Module 5 and focuses on the Austrian National Parliamentary Election held on 15 October 2017. This survey is part of the Austrian National Election Study (AUTNES).

10013_da_de_v1_0.tab

Dec 20, 2018 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition)

Tabular Data - 358.1 KB - 118 Variables, 1203 Observations -

DataSTATA

Core data file - STATA format - 118 Variables, 1203 Observations - German

10013_da_de_v1_0.zsav

Dec 20, 2018 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition)

Unknown - 142.9 KB -

DataSPSS

Core data file - compressed SPSS format - 118 Variables, 1203 Observations - German

10013_da_en_v1_0.dta

Dec 20, 2018 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition)

Stata Binary - 426.2 KB -

DataSTATA

Core data file - STATA format - 118 Variables, 1203 Observations - English

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