111 to 120 of 5,857 Results
Mar 6, 2025 - Public
Weger, Denis, 2025, "Relating Pre-service Teachers' Language-related Biographical Experiences with their Noticing of Linguistically Diverse Classroom Situations - Stimulated Recall (SUF edition)", https://doi.org/10.11587/CJR2SX, AUSSDA, V1
Full edition for scientific use. This study explores the relationship between pre-service teachers' language-related biographical experiences and their noticing of linguistically diverse classroom situations. The sample consists of secondary education pre-service teachers from th... |
ZIP Archive - 2.0 MB -
MD5: fa8ad947e7e7e5837dc015029f08c942
Core data files – compressed PDF format (Respondent 1 to Respondent 7) |
Adobe PDF - 190.8 KB -
MD5: 47ee11c6629fab42b6269e3946f0cb6d
Interviewer manual |
Adobe PDF - 281.2 KB -
MD5: 59d64076cb02448a838c4a70167c100d
Method report (German and English) |
Adobe PDF - 205.6 KB -
MD5: c0e58252a4f188854f1a48552908e372
Consent form |
Adobe PDF - 41.0 KB -
MD5: ae69e8066cb25fcab47aabb529844fe4
Data curation protocol |
Adobe PDF - 134.7 KB -
MD5: 03a3758998a4cdd275cde7434ec41a79
Tabulation report |
Mar 4, 2025 - Public
Pfaff, Katharina; Kritzinger, Sylvia; Partheymüller, Julia; Conte, Luca; Duschek, Béla; Walcherberger, Christina, 2024, "Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)", https://doi.org/10.11587/BS8ZDC, AUSSDA, V3, UNF:6:hVAbyHfi5db0mtZ60tGoIQ== [fileUNF]
Full edition for scientific use. The Digitize! Online Panel is used for Austrian opinion surveys, which collect data on attitudes, behavior, and understanding of social phenomena or topics such as immigration, attitudes towards work, family, health, or the environment, as well as... |
Mar 4, 2025 -
Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
Tabular Data - 1.3 MB - 185 Variables, 1683 Observations - UNF:6:WPR3kO2oaomOMzTjHLmZng==
Core data file – STATA format – 185 Variables, 1683 Observations – German |
Mar 4, 2025 -
Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
ZIP Archive - 191.1 KB -
MD5: 4593f7b9e08e27bd72d4c510097b9f5b
Core data file – compressed CSV format – 185 Variables, 1683 Observations – German |