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171 to 180 of 5,886 Results
10866_mr_de_v1_0.pdf
Mar 6, 2025 - Relating Pre-service Teachers' Language-related Biographical Experiences with their Noticing of Linguistically Diverse Classroom Situations - Stimulated Recall (SUF edition)
Adobe PDF - 281.2 KB - MD5: 59d64076cb02448a838c4a70167c100d
DocumentationMethod report
Method report (German and English)
10866_om_de_v1_0.pdf
Mar 6, 2025 - Relating Pre-service Teachers' Language-related Biographical Experiences with their Noticing of Linguistically Diverse Classroom Situations - Stimulated Recall (SUF edition)
Adobe PDF - 205.6 KB - MD5: c0e58252a4f188854f1a48552908e372
Documentation
Consent form
10866_readme.pdf
Mar 6, 2025 - Relating Pre-service Teachers' Language-related Biographical Experiences with their Noticing of Linguistically Diverse Classroom Situations - Stimulated Recall (SUF edition)
Adobe PDF - 41.0 KB - MD5: ae69e8066cb25fcab47aabb529844fe4
Documentation
Data curation protocol
10866_ta_de_v1_0.pdf
Mar 6, 2025 - Relating Pre-service Teachers' Language-related Biographical Experiences with their Noticing of Linguistically Diverse Classroom Situations - Stimulated Recall (SUF edition)
Adobe PDF - 134.7 KB - MD5: 03a3758998a4cdd275cde7434ec41a79
DataTabulation report
Tabulation report
Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
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...
10876_da_de_v3_0.tab
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==
DataSTATA
Core data file – STATA format – 185 Variables, 1683 Observations – German
10876_da_de_v3_0.zip
Mar 4, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
ZIP Archive - 191.1 KB - MD5: 4593f7b9e08e27bd72d4c510097b9f5b
CSVData
Core data file – compressed CSV format – 185 Variables, 1683 Observations – German
10876_da_de_v3_0.zsav
Mar 4, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
Unknown - 263.5 KB - MD5: 860408e1ea29118e2f1f93d471fef5fc
DataSPSS
Core data file – compressed SPSS format – 185 Variables, 1683 Observations – German
10876_da_en_v3_0.tab
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:ltZb4iskPcjInCij+c/IFg==
DataSTATA
Core data file – STATA format – 185 Variables, 1683 Observations – English
10876_da_en_v3_0.zip
Mar 4, 2025 - Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)
ZIP Archive - 199.2 KB - MD5: bded772b29f3c93ef5c06aa399eb3fa1
CSVData
Core data file – compressed CSV format – 185 Variables, 1683 Observations – English
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