AUTNES

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).

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351 to 360 of 374 Results

10079_sx02_en_v1_0.do Sep 24, 2019 - Pre and Post Election Panel Study on Issue Yield and Voters' Priorities in the 2017 Austrian Elections (SUF edition) Stata Syntax - 44.4 KB - MD5: 1cff89c0e4fec5e5b265e8913600df47 Code ICCP-Individual level data processing (Linking Austrian ICCP data to other countries' ICCP datasets at the individual level)
10079_vi_en_v1_0.tab Sep 24, 2019 - Pre and Post Election Panel Study on Issue Yield and Voters' Priorities in the 2017 Austrian Elections (SUF edition) Tab-Delimited - 69.6 KB - MD5: 06d009cc9f2cc49be17f6966d17e55b9 Documentation Variable identifiers and descriptions - machine-readable
AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition) Dec 20, 2018 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
10013_da_en_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== Data
10013_da_en_v1_0.zsav Dec 20, 2018 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition) Unknown - 144.0 KB - MD5: 178104d65f7006ba4fdd5a782c50153d DataSPSS Core data file - compressed SPSS format - 118 Variables, 1203 Observations - English
10013_mr_en_v1_0.pdf Dec 20, 2018 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition) Adobe PDF - 402.6 KB - MD5: 14c6eae028436143dc0991fdb6089d4c CodebookDocumentationMethod report Method report and codebook
10013_om_de_v1_0.tab Dec 20, 2018 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (SUF edition) Tab-Delimited - 24.5 KB - MD5: c7fdb7c63d1f99816b5985ed9302bf9b Documentation Variable identifiers and descriptions - machine-readable German

10079_sx02_en_v1_0.do

Sep 24, 2019 - Pre and Post Election Panel Study on Issue Yield and Voters' Priorities in the 2017 Austrian Elections (SUF edition)

Stata Syntax - 44.4 KB -

Code

ICCP-Individual level data processing (Linking Austrian ICCP data to other countries' ICCP datasets at the individual level)

10079_vi_en_v1_0.tab

Sep 24, 2019 - Pre and Post Election Panel Study on Issue Yield and Voters' Priorities in the 2017 Austrian Elections (SUF edition)

Tab-Delimited - 69.6 KB -

Documentation

Variable identifiers and descriptions - machine-readable

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

Dec 20, 2018

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

10013_da_en_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 -

Data

10013_da_en_v1_0.zsav

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

Unknown - 144.0 KB -

DataSPSS

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

10013_mr_en_v1_0.pdf

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

Adobe PDF - 402.6 KB -

CodebookDocumentationMethod report

Method report and codebook

10013_om_de_v1_0.tab

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

Tab-Delimited - 24.5 KB -

Documentation

Variable identifiers and descriptions - machine-readable German

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