AUSSDA

Metrics

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Public

AUTNES

Statistik Austria

ASEP

SSÖ-ISSP

GGP

COVID-19 Pandemic

Teaching and Learning

GfK Austria

RECONNECT

Survey Methods: Insights from the Field

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3,171 to 3,180 of 6,072 Results

COVID-19 Prevalence April 2020 (SUF edition) Sep 17, 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 April 2020 (SUF edition)", https://doi.org/10.11587/FTDGA4, AUSSDA, V2, UNF:6:w7vtbLG4lYcqdukOEe4sMA== [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 2800 people was drawn based on the Central Population Register of Austria (people living in Austria, excluding thos...
10093_da01_de_v1_1.tab Sep 17, 2020 - COVID-19 Prevalence April 2020 (SUF edition) Tabular Data - 1.1 MB - 137 Variables, 1577 Observations - UNF:6:VS65FmgRVPOJ6zaT1OWdOA== DataStata Core data file - STATA format - 137 Variables, 1577 Observations
10093_da01_de_v1_1.zsav Sep 17, 2020 - COVID-19 Prevalence April 2020 (SUF edition) Unknown - 161.1 KB - MD5: c0872ba9f16ab7b3edbcde27c927d5df DataSPSS Core data file - compressed SPSS format - 137 Variables, 1577 Observations
10093_co_de_v1_1.pdf Sep 17, 2020 - COVID-19 Prevalence April 2020 (SUF edition) Adobe PDF - 102.3 KB - MD5: 19607317647396167ed71a5194d92184 CodebookDocumentation Codebook
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

COVID-19 Prevalence April 2020 (SUF edition)

Sep 17, 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 April 2020 (SUF edition)", https://doi.org/10.11587/FTDGA4, AUSSDA, V2, UNF:6:w7vtbLG4lYcqdukOEe4sMA== [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 2800 people was drawn based on the Central Population Register of Austria (people living in Austria, excluding thos...

10093_da01_de_v1_1.tab

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

Tabular Data - 1.1 MB - 137 Variables, 1577 Observations -

DataStata

Core data file - STATA format - 137 Variables, 1577 Observations

10093_da01_de_v1_1.zsav

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

Unknown - 161.1 KB -

DataSPSS

Core data file - compressed SPSS format - 137 Variables, 1577 Observations

10093_co_de_v1_1.pdf

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

Adobe PDF - 102.3 KB -

CodebookDocumentation

Codebook

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

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