161 to 170 of 576 Results
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... |
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... |
Aichholzer, Julian; Zeglovits, Eva; Kritzinger, Sylvia, 2020, "Case study political socialization with mother-child couples in Vienna 2012 (SUF edition)", https://doi.org/10.11587/GDX8IG, AUSSDA, V1, UNF:6:7bsUWOs/Zx0JROSVRGlckw== [fileUNF]
Full edition for scientific use. A case study on political socialization. The aim of the study was to investigate the similarity in political attitudes and behavior between mothers and their children (dyads) using a standardized survey. |
Vollmer, Christian; Goreth, Sebastian; Mader, Robert; Platz, Melanie; Oberhauser, Claus; Plattner, Irmgard, 2020, "COVID-19 Distance Learning Tyrol (SUF edition)", https://doi.org/10.11587/LWDAD0, AUSSDA, V1, UNF:6:wOQhCLcXLhIJFV2Un4Bxmg== [fileUNF]
Full edition for scientific use. New distance learning methods were quickly implemented in Tyrol, Austria, in March 2020 as a response to the Corona pandemic. The study „COVID-19 Distance Learning Tyrol“ surveyed 2314 Tyrolean teachers with an online questionnaire (field time 24th of April to 8th of May 2020). The topics were digital learning befor... |
Nov 4, 2020 - Public
Plescia, Carolina; Daoust, Jean-François; Blais, André, 2020, "Replication Data for: Do European elections enhance satisfaction with European Union democracy?", https://doi.org/10.11587/SAU5AJ, AUSSDA, V1, UNF:6:6wDr0GGWtoSAcABGQauopA== [fileUNF]
We provide the first individual-level test of whether holding supranational elections in the European Union fosters satisfaction with European Union democracy. First, we examine whether participation at the European Parliament election fosters satisfaction with democracy and whether, among those who participated, a winner–loser gap materializes at... |
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... |
