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1,971 to 1,980 of 5,929 Results
10002_vi_en_v1_1.tab
Feb 8, 2022 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (CSES Edition, OA edition)
Tabular Data - 20.8 KB - 3 Variables, 628 Observations - UNF:6:EAXZ3sSzaVGPqeNYsmPGTg==
Documentation
Variable identifiers and descriptions - machine-readable English
AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition)
AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition)
Feb 8, 2022 - 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 (AUTNES Edition, OA edition)", https://doi.org/10.11587/GDBBPJ, AUSSDA, V3, UNF:6:9n947nIAfyFyULX3G0HneQ== [fileUNF]
Reduced edition for public use. Full edition available for scientific use. This is Open Access data 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...
10001_da_de_v1_1.tab
Feb 8, 2022 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition)
Tabular Data - 329.4 KB - 111 Variables, 1203 Observations - UNF:6:XW3zpeQoxpVqfX0y0Ug6nA==
DataSTATA
Core data file - STATA format - 111 Variables, 1203 Observations
10001_da_de_v1_1.zsav
Feb 8, 2022 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition)
Unknown - 121.1 KB - MD5: 4122d003731d8089f517da836082456a
DataSPSS
Core data file - compressed SPSS format - 111 Variables, 1203 Observations
10001_errata.pdf
Feb 8, 2022 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition)
Adobe PDF - 33.3 KB - MD5: 844e7ce7740d17f3aa8f1075b9a44522
Documentation
Errata
10001_mr_de_v1_1.pdf
Feb 8, 2022 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition)
Adobe PDF - 287.6 KB - MD5: 3ecbd529e24291ad7153227d1c645db7
DocumentationMethod report
Method report
10001_qu_de_v1_1.pdf
Feb 8, 2022 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition)
Adobe PDF - 242.9 KB - MD5: eafe22eaa1e910f42e137e70a0ee6e24
DocumentationQuestionnaire
Questionnaire
10001_vi_de_v1_1.tab
Feb 8, 2022 - AUTNES Comparative Study of Electoral Systems Post-Election Survey 2017 (AUTNES Edition, OA edition)
Tabular Data - 24.0 KB - 3 Variables, 728 Observations - UNF:6:dpn+gbsiyORnkmxQaUm3CA==
Documentation
Variable identifiers and descriptions - machine-readable - German
Microcensus Ad-Hoc-Module 'Accidents at work and other work-related health problems' 2020 (SUF edition)
Jan 26, 2022 - Statistik Austria
Statistics Austria, 2022, "Microcensus Ad-Hoc-Module 'Accidents at work and other work-related health problems' 2020 (SUF edition)", https://doi.org/10.11587/J7BDJX, AUSSDA, V1, UNF:6:oTHMInoK9Io2rLe3sFORQg== [fileUNF]
Full edition for scientific use. In addition to the core variables of the Microcensus Labour Force Survey (LFS), the LFS also has so-called ad-hoc-modules (AHM) that can vary from year to year. The EU-LFS ad-hoc-module 2020 on ‘Accidents at work and other work-related health prob...
10762_da01_de_v1_0.tab
Jan 26, 2022 - Microcensus Ad-Hoc-Module 'Accidents at work and other work-related health problems' 2020 (SUF edition)
Tabular Data - 10.4 MB - 203 Variables, 16141 Observations - UNF:6:fzCbRA4TCoTrNtwBViqjuA==
DataSTATA
Core data file, not imputed data (MZdg4e_GP_AHM 2020) - STATA format - 203 Variables, 16141 Observations
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