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91 to 100 of 1,025 Results

10866_im_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 - 190.8 KB - MD5: 47ee11c6629fab42b6269e3946f0cb6d Documentation Interviewer manual
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 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

10866_im_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 - 190.8 KB -

Documentation

Interviewer manual

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 -

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 -

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 -

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 -

DataTabulation report

Tabulation report

Digitize! Comparative Study of Electoral Systems Post-Election Survey 2024 (SUF edition)

Mar 4, 2025

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 -

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 -

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 -

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 -

DataSTATA

Core data file – STATA format – 185 Variables, 1683 Observations – English

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