51 to 60 of 202 Results
Oct 1, 2019 -
Social Survey Austria 1986 (SUF edition)
Unknown - 458.2 KB -
MD5: f630b319edc1419e6b9e99c9d362d603
Core data file - compressed SPSS format - 377 Variables, 2014 Observations |
Oct 1, 2019 -
Social Survey Austria 1986 (SUF edition)
Adobe PDF - 372.7 KB -
MD5: 2835fdb9fad78f1fe30749714f8e605d
Method report |
Oct 1, 2019 -
Social Survey Austria 1986 (SUF edition)
Adobe PDF - 650.3 KB -
MD5: f05cd82bcc35e6bdbc3ca5786b7e9833
List of ISCO codes and prestige scores for SSÖ 1986 and SSÖ 1993 |
Oct 1, 2019 -
Social Survey Austria 1986 (SUF edition)
Adobe PDF - 3.5 MB -
MD5: ef8a218b06fb0b2365999755f82b2d0a
Questionnaire |
Oct 1, 2019 -
Social Survey Austria 1986 (SUF edition)
Tab-Delimited - 103.2 KB -
MD5: e8a39eb9513027073afc5cf4476acc7e
Variable identifiers and descriptions - machine-readable |
Sep 24, 2019 -
Pre and Post Election Panel Study on Issue Yield and Voters' Priorities in the 2017 Austrian Elections (SUF edition)
Tabular Data - 1.6 MB - 415 Variables, 999 Observations - UNF:6:7mOVL5tk4M+McfMUGEr90Q==
Core data file - STATA format - 415 Variables, 999 Observations |
Sep 24, 2019 -
Pre and Post Election Panel Study on Issue Yield and Voters' Priorities in the 2017 Austrian Elections (SUF edition)
Tabular Data - 914.1 KB - 415 Variables, 999 Observations - UNF:6:7mOVL5tk4M+McfMUGEr90Q==
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Sep 24, 2019 -
Pre and Post Election Panel Study on Issue Yield and Voters' Priorities in the 2017 Austrian Elections (SUF edition)
Unknown - 262.2 KB -
MD5: b49978a1f34e9b1f2b2dc5b8347ab49b
Core data file - compressed SPSS format - 415 Variables, 999 Observations |
Sep 24, 2019 -
Pre and Post Election Panel Study on Issue Yield and Voters' Priorities in the 2017 Austrian Elections (SUF edition)
Adobe PDF - 856.7 KB -
MD5: d1667b0308602867c7804b69d4446e90
Documentation: Method report and Codebook |
Sep 24, 2019 -
Pre and Post Election Panel Study on Issue Yield and Voters' Priorities in the 2017 Austrian Elections (SUF edition)
Adobe PDF - 86.0 KB -
MD5: 3f0be92e612827f62734ed09240cd7ae
How to merge Austrian data with comparative ICCP dataset |