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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141 to 150 of 328 Results
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
10728_co_en_v1_0.pdf
Dec 16, 2021 - AUTNES Content Analysis of Campaign Facebook Pages 2017 (SUF edition)
Adobe PDF - 425.8 KB - MD5: 60d42891ed4048ff6f94a8c430aa16df
CodebookDocumentation
Codebook
10728_da_en_v1_0.tab
Dec 16, 2021 - AUTNES Content Analysis of Campaign Facebook Pages 2017 (SUF edition)
Tabular Data - 1.7 MB - 101 Variables, 2769 Observations - UNF:6:W9Ta617LDwpudHR9up39Tw==
DataSTATA
Core data file - STATA format - 101 Variables, 2769 Observations
10728_da_en_v1_0.zip
Dec 16, 2021 - AUTNES Content Analysis of Campaign Facebook Pages 2017 (SUF edition)
ZIP Archive - 392.8 KB - MD5: b65f0b099796b26a9213754427964f05
CSVData
Core data file - compressed csv format - 101 Variables, 2769 Observations
10728_da_en_v1_0.zsav
Dec 16, 2021 - AUTNES Content Analysis of Campaign Facebook Pages 2017 (SUF edition)
Unknown - 2.5 MB - MD5: b67f2e0029cda39be87fc081c5921dfb
DataSPSS
Core data file - compressed SPSS format - 101 Variables, 2769 Observations
10728_readme.pdf
Dec 16, 2021 - AUTNES Content Analysis of Campaign Facebook Pages 2017 (SUF edition)
Adobe PDF - 38.6 KB - MD5: 1166ba926d8906730555718cf9389802
Documentation
General information
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