881 to 890 of 1,611 Results
Mar 29, 2021 - Statistik Austria
Statistics Austria, 2021, "Microcensus Labour Force Survey / Housing Survey 2013 (SUF edition)", https://doi.org/10.11587/IYZNKC, AUSSDA, V1, UNF:6:ziLmuvDj4ccEpQwwjPF5cQ== [fileUNF]
Full edition for scientific use. With about 20,000 households surveyed per quarter, the Microcensus is the largest regularly conducted sample survey in Austria. It is an important data source for national and international labour market indicators and regularly provides information on housing and families. The survey is also known as the EU Labour... |
Statistics Austria, 2020, "Microcensus Labour Force Survey / Housing Survey 2020 (SUF edition)", https://doi.org/10.11587/GXAPI7, AUSSDA, V4, UNF:6:roUO2IJsXANPn0bbM4NsBw== [fileUNF]
Full edition for scientific use. With about 20,000 households surveyed per quarter, the Microcensus is the largest regularly conducted sample survey in Austria. It is an important data source for national and international labour market indicators and regularly provides information on housing and families. The survey is also known as the EU Labour... |
Feb 25, 2021 - 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, 2021, "COVID-19 Prevalence November 2020 (SUF edition)", https://doi.org/10.11587/G3C2CS, AUSSDA, V1, UNF:6:I28SQd08cHeRAAxMJb9FTg== [fileUNF]
Full edition for scientific use. The main purpose of the study was to identify the number of people actually infected with coronavirus in Austria, as well as the number of people who have formed antibodies against SARS-CoV-2 and thus have been infected and further to report how people are feeling during this crisis. A representative random sample o... |
Feb 9, 2021 - COVID-19 Pandemic
Schober, Barbara; Lüftenegger, Marko; Spiel, Christiane, 2021, "Learning conditions during COVID-19 Students (SUF edition)", https://doi.org/10.11587/XIU3TX, AUSSDA, V1, UNF:6:Jyr4y0c3BXUbxLWAFmZ0YQ== [fileUNF]
Full edition for scientific use. This dataset consists of five separate datafiles representing three measurement points and two types of methods (cross-sectional and longitudinal) for the project "Lernen unter COVID-19-Bedingungen Studierende" [Learning conditions during COVID-19 Students] of the University of Vienna. Measurement point 1 (cross-sec... |
Feb 8, 2021 - Statistik Austria
Statistics Austria, 2021, "Microcensus Labour Force Survey / Housing Survey 2014 (SUF edition)", https://doi.org/10.11587/AQKWM6, AUSSDA, V1, UNF:6:o2PkDqpCJYT0HqyxvLRprg== [fileUNF]
Full edition for scientific use. With about 20,000 households surveyed per quarter, the Microcensus is the largest regularly conducted sample survey in Austria. It is an important data source for central national and international labour market indicators and regularly provides information on housing and families. The survey is also known as the Mi... |
Jan 28, 2021 - AUTNES
Müller, Wolfgang C.; Bodlos, Anita; Dolezal, Martin; Eder, Nikolaus; Ennser-Jedenastik, Laurenz; Kaltenegger, Matthias; Meyer, Thomas M.; Praprotnik, Katrin; Winkler, Anna Katharina, 2021, "AUTNES Content Analysis of Party Manifestos 2002 (SUF edition)", https://doi.org/10.11587/THIDUU, AUSSDA, V1, UNF:6:a4Sq7qH3IQUbdgVs+D0HBA== [fileUNF]
Full edition for scientific use. The AUTNES dataset on party manifestos covers the manifestos of the relevant parties that competed in the Austrian national elections 2002. All natural sentences within the manifestos are part of the dataset. The units of analysis are standardized statements derived from these natural sentences by means of a set of... |
Jan 28, 2021 - AUTNES
Müller, Wolfgang C.; Bodlos, Anita; Dolezal, Martin; Eder, Nikolaus; Ennser-Jedenastik, Laurenz; Kaltenegger, Matthias; Meyer, Thomas M.; Praprotnik, Katrin; Winkler, Anna Katharina, 2021, "AUTNES Content Analysis of Party Manifestos 2006 (SUF edition)", https://doi.org/10.11587/XJZPCU, AUSSDA, V1, UNF:6:77INWnY0/BTZHIQbsNy6wg== [fileUNF]
Full edition for scientific use. The AUTNES dataset on party manifestos covers the manifestos of the relevant parties that competed in the Austrian national elections 2006. All natural sentences within the manifestos are part of the dataset. The units of analysis are standardized statements derived from these natural sentences by means of a set of... |
Jan 28, 2021 - AUTNES
Müller, Wolfgang C.; Bodlos, Anita; Dolezal, Martin; Eder, Nikolaus; Ennser-Jedenastik, Laurenz; Kaltenegger, Matthias; Meyer, Thomas M.; Praprotnik, Katrin; Winkler, Anna Katharina, 2021, "AUTNES Content Analysis of Party Manifestos 2008 (SUF edition)", https://doi.org/10.11587/U4DWGK, AUSSDA, V1, UNF:6:iLiGDE7xtcjqSRvQ4yDTkg== [fileUNF]
Full edition for scientific use. The AUTNES dataset on party manifestos covers the manifestos of the relevant parties that competed in the Austrian national elections 2008. All natural sentences within the manifestos are part of the dataset. The units of analysis are standardized statements derived from these natural sentences by means of a set of... |
Jan 28, 2021 - AUTNES
Müller, Wolfgang C.; Bodlos, Anita; Dolezal, Martin; Eder, Nikolaus; Ennser-Jedenastik, Laurenz; Kaltenegger, Matthias; Meyer, Thomas M.; Praprotnik, Katrin; Winkler, Anna Katharina, 2021, "AUTNES Content Analysis of Party Manifestos 2013 (SUF edition)", https://doi.org/10.11587/YJT5WA, AUSSDA, V1, UNF:6:iWOhIDXh6dBFX98LPU4FnA== [fileUNF]
Full edition for scientific use. The AUTNES dataset on party manifestos covers the manifestos of the relevant parties that competed in the Austrian national elections 2013. All natural sentences within the manifestos are part of the dataset. The units of analysis are standardized statements derived from these natural sentences by means of a set of... |
Jan 27, 2021 - AUTNES
Müller, Wolfgang C.; Bodlos, Anita; Ennser-Jedenastik, Laurenz; Gahn, Christina; Graf, Elisabeth; Haselmayer, Martin; Haudum, Teresa; Huber, Lena Maria; Meyer, Thomas M.; Wurzer, Katharina, 2021, "AUTNES Content Analysis of Party Manifestos 2017 (SUF edition)", https://doi.org/10.11587/9LZSK5, AUSSDA, V1, UNF:6:sJ8nnBvgrK1dCf0zHFMfHg== [fileUNF]
Full edition for scientific use. The AUTNES dataset on party manifestos covers the manifestos of the relevant parties that competed in the Austrian national election 2017. All natural sentences within the manifestos are part of the dataset. The units of analysis are standardized statements derived from these natural sentences by means of a set of u... |
