301 to 310 of 388 Results
Unknown - 8.7 MB -
MD5: e3f5c926014383e982a9ec524e04e8cc
Core data file - compressed SPSS format - 7 Variables, 125871 Observations |
Adobe PDF - 84.7 KB -
MD5: 956d09f91536890f37733442f4b5a62f
Method report |
Tabular Data - 448 B - 3 Variables, 13 Observations - UNF:6:Ze7yJiIAaxcdxsnaJ9Kesg==
Variable identifiers and descriptions - machine-readable |
Aug 27, 2020
Aichholzer, Julian; Partheymüller, Julia; Wagner, Markus; Kritzinger, Sylvia; Plescia, Carolina; Eberl, Jakob-Moritz; Meyer, Thomas; Berk, Nicolai; Büttner, Nico; Boomgaarden, Hajo; Müller, Wolfgang C., 2020, "AUTNES Online Panel Study 2017-2019 (SUF Edition)", https://doi.org/10.11587/QDETRI, AUSSDA, V1, UNF:6:jWh9B80wrKWKKBH0L+tsug== [fileUNF]
Full edition for scientific use. The AUTNES Online Panel Study 2017–2019 is a thirteen-wave panel that focuses on the Austrian National Parliamentary Election held on 15 October 2017 and 29 September 2019. This survey is part of the Austrian National Election Study (AUTNES). |
Aug 27, 2020 -
AUTNES Online Panel Study 2017-2019 (SUF Edition)
Tabular Data - 33.9 MB - 3615 Variables, 6624 Observations - UNF:6:euYMN/KWvZnmcEyOjhUQdA==
Core data file - STATA format - 3615 Variables, 6624 Observations - German
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Aug 27, 2020 -
AUTNES Online Panel Study 2017-2019 (SUF Edition)
Unknown - 16.3 MB -
MD5: 68217c20a8c8e6abce96474ff0313f5d
Core data file - compressed SPSS format - 3615 Variables, 6624 Observations - German
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Aug 27, 2020 -
AUTNES Online Panel Study 2017-2019 (SUF Edition)
Tabular Data - 33.9 MB - 3615 Variables, 6624 Observations - UNF:6:+byRaCn1cbzWgy3vtqfzOg==
Core data file - STATA format - 3615 Variables, 6624 Observations - English
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Aug 27, 2020 -
AUTNES Online Panel Study 2017-2019 (SUF Edition)
Unknown - 16.2 MB -
MD5: b4af7c55fa21ec708eb264084872360e
Core data file - compressed SPSS format - 3615 Variables, 6624 Observations - English
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Aug 27, 2020 -
AUTNES Online Panel Study 2017-2019 (SUF Edition)
Adobe PDF - 669.9 KB -
MD5: b913bdd1955d0bcbe6c6adc0135e5966
Method report |
Aug 27, 2020 -
AUTNES Online Panel Study 2017-2019 (SUF Edition)
ZIP Archive - 72.8 KB -
MD5: a1a3ef03ac6a05913db4a3adf4004cc9
List of variables in waves 1-13 (zipped Excel.xlsx)
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