1,181 to 1,190 of 5,944 Results
Unknown - 20.2 MB -
MD5: 23aa16de386b90fb87f9104de7058676
Core annual data file, imputed data & additional variables & COVID-19 variables (dg8.mz2022j & dg8_mz2022j_ZF_Covid19) - compressed SPSS format - 254 Variables, 173147 Observations
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Adobe PDF - 68.4 KB -
MD5: b106f7266bb1baae39364755da382a7b
Additional questions COVID-19, fourth quarter
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Adobe PDF - 9.8 MB -
MD5: e66a55d3f2c8acb3a6584942481f2981
Labour market statistics, fourth quarter 2022
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Tabular Data - 208.9 KB - 3 Variables, 3538 Observations - UNF:6:R4ud8o8weZmFQH/ypCZH8g==
Variable identifiers and descriptions - machine-readable
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Apr 14, 2023 - Public
Jano, Dorian, 2023, "Replication Data for: Mapping Balkan – Southeast European studies (OA edition)", https://doi.org/10.11587/WTXWWP, AUSSDA, V1
Full edition for public use. In the framework of the RESEE project, bibliographical data of scholarly publication on the Balkan – Southeast European studies have been gathered from multiple database sources (Web of Science, Scopus, Jstor, Portico), using explicit search criteria,... |
ZIP Archive - 7.0 MB -
MD5: 8a406febe86c216a34a8e05493ad44af
Compressed dataset and documentation |
Tabular Data - 294.2 KB - 69 Variables, 1219 Observations - UNF:6:y3tQM4n3HlTehnfXlF5kPQ==
Core data file – CSV format – 69 Variables, 1219 Observations
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Adobe PDF - 232.2 KB -
MD5: 4b879636c105db2197e7771178d62c2f
Method report |
Apr 5, 2023 - Public
Dibiasi, Anna; Binder, David; Engleder, Judith; Fenz, Kathrin; Terzieva, Berta; Unger, Martin; Zaussinger, Sarah; Zucha, Vlasta, 2023, "Austrian Student Social Survey 2019 (SUF edition)", https://doi.org/10.11587/OG7G7M, AUSSDA, V1, UNF:6:aDYSJew6xomb1yRTEAIUsg== [fileUNF]
Full edition for scientific use. The aim of the Student Social Survey 2019 is to collect data on study and living conditions of students in Austria. The survey, which has been conducted at regular intervals since 1973, provides an important basis for the design of higher educatio... |
Apr 5, 2023 -
Austrian Student Social Survey 2019 (SUF edition)
Adobe PDF - 474.8 KB -
MD5: 7b7e373410152247c760a1f44c9ef381
Codebook |