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License: AUSSDA Scientific Use Licence for data and CC BY for documentation

1,561 to 1,570 of 3,499 Results

10093_qu01_de_v1_1.pdf Sep 17, 2020 - COVID-19 Prevalence April 2020 (SUF edition) Adobe PDF - 154.4 KB - MD5: d2526cf5ac840d4d332356cce8f496ce DocumentationQuestionnaire Questionnaire I
10093_vi_de_v1_1.tab Sep 17, 2020 - COVID-19 Prevalence April 2020 (SUF edition) Tabular Data - 35.0 KB - 3 Variables, 783 Observations - UNF:6:PqKcUTSSKZiToNCNfHnUUw== Documentation Variable identifiers and descriptions - machine-readable
Democracy Radar Wave 1 (SUF edition) Sep 15, 2020 - Public Perlot, Flooh; Hermann, Andrea; Praprotnik, Katrin; Ingruber, Daniela; Hainzl, Christina, 2020, "Democracy Radar Wave 1 (SUF edition)", https://doi.org/10.11587/16RCPU, AUSSDA, V1, UNF:6:3m+HKMPEPx0V3J1olly0yA== [fileUNF] Full edition for scientific use. Data set of the first wave of the Democracy Radar with data on attitudes towards democracy, politics and the political system in Austria and views on the societal as well as the individual situation. Main focus of this wave was trust in politics. The Democracy Radar is an ongoing study of politics and democracy in A...
10099_da_de_v1_0.tab Sep 15, 2020 - Democracy Radar Wave 1 (SUF edition) Tabular Data - 990.0 KB - 72 Variables, 4734 Observations - UNF:6:8F+d5ojgCTHEsvwCBLGvpg== DataSTATA Core data file - STATA format - 72 Variables, 4734 Observations
10099_da_de_v1_0.zsav Sep 15, 2020 - Democracy Radar Wave 1 (SUF edition) Unknown - 237.7 KB - MD5: afbb6be781d0eccd5271e9f001bca9fe DataSPSS Core data file - compressed SPSS format - 72 Variables, 4734 Observations
10099_mr_de_v1_0.pdf Sep 15, 2020 - Democracy Radar Wave 1 (SUF edition) Adobe PDF - 368.6 KB - MD5: bcf831c7b5ca3df1405c4565335faf45 CodebookDocumentationMethod reportQuestionnaire Method report, Questionnaire, Codebook
10099_vi_de_v1_0.tab Sep 15, 2020 - Democracy Radar Wave 1 (SUF edition) Tabular Data - 15.4 KB - 3 Variables, 389 Observations - UNF:6:z3B+urw1uIE0qOc+BExEeg== Documentation Variable identifiers and descriptions - machine-readable
COVID-19 Prevalence May 2020 (SUF edition) Aug 28, 2020 - COVID-19 Pandemic Paškvan, Matea; Kowarik, Alexander; Schrittwieser, Karin; Till, Matthias; Weinauer, Marlene; Göllner, Tobias; Hartleib, Sarah; Klimont, Jeanette; Plate, Marc; Baumgartner, Irene; Edelhofer-Lielacher, Edith; Grasser, Alfred; Kytir, Josef, 2020, "COVID-19 Prevalence May 2020 (SUF edition)", https://doi.org/10.11587/8GPO9W, AUSSDA, V1, UNF:6:mHh2FO9ITcSuh035VWijHg== [fileUNF] Full edition for scientific use. The main purpose of the study was to identify the number of people infected with coronavirus in Austria as well as to report how people are feeling during this crisis. A representative random sample of 3720 people was drawn based on the Central Population Register of Austria (people living in Austria, excluding thos...
10097_co_de_v1_0.pdf Aug 28, 2020 - COVID-19 Prevalence May 2020 (SUF edition) Adobe PDF - 245.9 KB - MD5: 7a375f8d77acd2d482b5be6bbe676eaa CodebookDocumentation Codebook
10097_da01_de_v1_0.tab Aug 28, 2020 - COVID-19 Prevalence May 2020 (SUF edition) Tabular Data - 782.7 KB - 144 Variables, 1527 Observations - UNF:6:H640kldgbLSiwizuLqkQTw== DataSTATA Core data file - STATA format - 144 Variables, 1527 Observations

10093_qu01_de_v1_1.pdf

Sep 17, 2020 - COVID-19 Prevalence April 2020 (SUF edition)

Adobe PDF - 154.4 KB -

DocumentationQuestionnaire

Questionnaire I

10093_vi_de_v1_1.tab

Sep 17, 2020 - COVID-19 Prevalence April 2020 (SUF edition)

Tabular Data - 35.0 KB - 3 Variables, 783 Observations -

Documentation

Variable identifiers and descriptions - machine-readable

Democracy Radar Wave 1 (SUF edition)

Sep 15, 2020 - Public

Perlot, Flooh; Hermann, Andrea; Praprotnik, Katrin; Ingruber, Daniela; Hainzl, Christina, 2020, "Democracy Radar Wave 1 (SUF edition)", https://doi.org/10.11587/16RCPU, AUSSDA, V1, UNF:6:3m+HKMPEPx0V3J1olly0yA== [fileUNF]

Full edition for scientific use. Data set of the first wave of the Democracy Radar with data on attitudes towards democracy, politics and the political system in Austria and views on the societal as well as the individual situation. Main focus of this wave was trust in politics. The Democracy Radar is an ongoing study of politics and democracy in A...

10099_da_de_v1_0.tab

Sep 15, 2020 - Democracy Radar Wave 1 (SUF edition)

Tabular Data - 990.0 KB - 72 Variables, 4734 Observations -

DataSTATA

Core data file - STATA format - 72 Variables, 4734 Observations

10099_da_de_v1_0.zsav

Sep 15, 2020 - Democracy Radar Wave 1 (SUF edition)

Unknown - 237.7 KB -

DataSPSS

Core data file - compressed SPSS format - 72 Variables, 4734 Observations

10099_mr_de_v1_0.pdf

Sep 15, 2020 - Democracy Radar Wave 1 (SUF edition)

Adobe PDF - 368.6 KB -

CodebookDocumentationMethod reportQuestionnaire

Method report, Questionnaire, Codebook

10099_vi_de_v1_0.tab

Sep 15, 2020 - Democracy Radar Wave 1 (SUF edition)

Tabular Data - 15.4 KB - 3 Variables, 389 Observations -

Documentation

Variable identifiers and descriptions - machine-readable

COVID-19 Prevalence May 2020 (SUF edition)

Aug 28, 2020 - COVID-19 Pandemic

Paškvan, Matea; Kowarik, Alexander; Schrittwieser, Karin; Till, Matthias; Weinauer, Marlene; Göllner, Tobias; Hartleib, Sarah; Klimont, Jeanette; Plate, Marc; Baumgartner, Irene; Edelhofer-Lielacher, Edith; Grasser, Alfred; Kytir, Josef, 2020, "COVID-19 Prevalence May 2020 (SUF edition)", https://doi.org/10.11587/8GPO9W, AUSSDA, V1, UNF:6:mHh2FO9ITcSuh035VWijHg== [fileUNF]

Full edition for scientific use. The main purpose of the study was to identify the number of people infected with coronavirus in Austria as well as to report how people are feeling during this crisis. A representative random sample of 3720 people was drawn based on the Central Population Register of Austria (people living in Austria, excluding thos...

10097_co_de_v1_0.pdf

Aug 28, 2020 - COVID-19 Prevalence May 2020 (SUF edition)

Adobe PDF - 245.9 KB -

CodebookDocumentation

Codebook

10097_da01_de_v1_0.tab

Aug 28, 2020 - COVID-19 Prevalence May 2020 (SUF edition)

Tabular Data - 782.7 KB - 144 Variables, 1527 Observations -

DataSTATA

Core data file - STATA format - 144 Variables, 1527 Observations

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