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License: AUSSDA Scientific Use Licence for data and CC BY for documentation

1,531 to 1,540 of 3,499 Results

COVID-19 Distance Learning Tyrol (SUF edition) Dec 18, 2020 - COVID-19 Pandemic 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...
10276_da_de_v1_0.tab Dec 18, 2020 - COVID-19 Distance Learning Tyrol (SUF edition) Tabular Data - 2.6 MB - 268 Variables, 2314 Observations - UNF:6:PsY2Ap/MX/gsm7si/SiUUw== DataSTATA Core data file - Stata fomat - 268 Variables, 2314 Observations
10276_da_de_v1_0.zsav Dec 18, 2020 - COVID-19 Distance Learning Tyrol (SUF edition) Unknown - 374.1 KB - MD5: 82a24bc8daf045daa4a01eb927d7fccb DataSPSS Core data file - compressed SPSS fomat - 268 Variables, 2314 Observations
10276_mr_de_v1_0.pdf Dec 18, 2020 - COVID-19 Distance Learning Tyrol (SUF edition) Adobe PDF - 217.6 KB - MD5: 0a0dc909558e9ede85a645e5d22656be DocumentationMethod report Method report
10276_qu_de_v1_0.pdf Dec 18, 2020 - COVID-19 Distance Learning Tyrol (SUF edition) Adobe PDF - 830.0 KB - MD5: 6eeaff56160f784e095791f682aa541d DocumentationQuestionnaire Questionnaire
10276_vi_de_v1_0.tab Dec 18, 2020 - COVID-19 Distance Learning Tyrol (SUF edition) Tabular Data - 68.1 KB - 3 Variables, 1599 Observations - UNF:6:KWB+U/P7xXhJsW3tLqI99w== Documentation Variable identifiers and descriptions - machine-readable
10724_co_en_v1_0.pdf Dec 17, 2020 - AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition) Adobe PDF - 307.6 KB - MD5: 13a8234eba6443709a0ef21f8213d071 CodebookDocumentation Codebook
10724_da_en_v1_0.tab Dec 17, 2020 - AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition) Tabular Data - 29.7 MB - 33 Variables, 77573 Observations - UNF:6:Y6Z5/MsaStVMBoiSBddTAA== DataSTATA Core data file, STATA format - 33 Variables, 77573 Observations
10724_da_en_v1_0.zsav Dec 17, 2020 - AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition) Unknown - 10.4 MB - MD5: 20dd6d0e8385775f2e14eb8806933400 DataSPSS Core data file - compressed SPSS format - 33 Variables, 77573 Observations
10724_mr_en_v1_0.pdf Dec 17, 2020 - AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition) Adobe PDF - 774.1 KB - MD5: b813de2b5968c827a30c4f8d54779ae8 DocumentationMethod report Method report

COVID-19 Distance Learning Tyrol (SUF edition)

Dec 18, 2020 - COVID-19 Pandemic

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...

10276_da_de_v1_0.tab

Dec 18, 2020 - COVID-19 Distance Learning Tyrol (SUF edition)

Tabular Data - 2.6 MB - 268 Variables, 2314 Observations -

DataSTATA

Core data file - Stata fomat - 268 Variables, 2314 Observations

10276_da_de_v1_0.zsav

Dec 18, 2020 - COVID-19 Distance Learning Tyrol (SUF edition)

Unknown - 374.1 KB -

DataSPSS

Core data file - compressed SPSS fomat - 268 Variables, 2314 Observations

10276_mr_de_v1_0.pdf

Dec 18, 2020 - COVID-19 Distance Learning Tyrol (SUF edition)

Adobe PDF - 217.6 KB -

DocumentationMethod report

Method report

10276_qu_de_v1_0.pdf

Dec 18, 2020 - COVID-19 Distance Learning Tyrol (SUF edition)

Adobe PDF - 830.0 KB -

DocumentationQuestionnaire

Questionnaire

10276_vi_de_v1_0.tab

Dec 18, 2020 - COVID-19 Distance Learning Tyrol (SUF edition)

Tabular Data - 68.1 KB - 3 Variables, 1599 Observations -

Documentation

Variable identifiers and descriptions - machine-readable

10724_co_en_v1_0.pdf

Dec 17, 2020 - AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition)

Adobe PDF - 307.6 KB -

CodebookDocumentation

Codebook

10724_da_en_v1_0.tab

Dec 17, 2020 - AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition)

Tabular Data - 29.7 MB - 33 Variables, 77573 Observations -

DataSTATA

Core data file, STATA format - 33 Variables, 77573 Observations

10724_da_en_v1_0.zsav

Dec 17, 2020 - AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition)

Unknown - 10.4 MB -

DataSPSS

Core data file - compressed SPSS format - 33 Variables, 77573 Observations

10724_mr_en_v1_0.pdf

Dec 17, 2020 - AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition)