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211 to 220 of 5,852 Results

10835_om_de_v1_0.pdf Dec 5, 2024 - Microcensus Module 'Pensions and labour market participation' 2023 (SUF edition) Adobe PDF - 101.2 KB - MD5: 3b139d108d153c546c6649ddc6d44844 Documentation List of variables
10835_qu_de_v1_0.pdf Dec 5, 2024 - Microcensus Module 'Pensions and labour market participation' 2023 (SUF edition) Adobe PDF - 223.6 KB - MD5: ea476a116e9e60d8b3a7308fa756feb8 DocumentationQuestionnaire Questionnaire
10875_da01_de_v1_0.tab Dec 5, 2024 - Microcensus Module 'Pensions and labour market participation' 2023 (SUF edition) Tabular Data - 8.3 MB - 220 Variables, 11925 Observations - UNF:6:Am55CNhnFvMgczK5hYNkCw== DataSTATA Core data file, not imputed data (MZdg4e_GP_Modul_2023) - STATA format - 220 Variables, 11925 Observations
10875_da01_de_v1_0.zsav Dec 5, 2024 - Microcensus Module 'Pensions and labour market participation' 2023 (SUF edition) Unknown - 1.6 MB - MD5: 41f139a572f1fecfb69f9cd351b71a4e DataSPSS Core data file, not imputed data (MZdg4e_GP_Modul_2023) - compressed SPSS format - 220 Variables, 11925 Observations
10875_da02_de_v1_0.tab Dec 5, 2024 - Microcensus Module 'Pensions and labour market participation' 2023 (SUF edition) Tabular Data - 9.6 MB - 271 Variables, 11925 Observations - UNF:6:ow5mEDOTmoR1+tZIkftahw== DataSTATA Core data file, imputed data (MZdg8_GP_Modul_2023) - STATA format - 271 Variables, 11925 Observations
10875_da02_de_v1_0.zsav Dec 5, 2024 - Microcensus Module 'Pensions and labour market participation' 2023 (SUF edition) Unknown - 1.8 MB - MD5: 30504cb0b25ef566cb4e60254a14df8e DataSPSS Core data file, imputed data (MZdg8_GP_Modul_2023) - compressed SPSS format - 271 Variables, 11925 Observations
10875_readme.pdf Dec 5, 2024 - Microcensus Module 'Pensions and labour market participation' 2023 (SUF edition) Adobe PDF - 37.0 KB - MD5: 85e138211db5c59851df0a7bbd384423 Documentation Data curation protocol
10875_vi_de_v1_0.tab Dec 5, 2024 - Microcensus Module 'Pensions and labour market participation' 2023 (SUF edition) Tabular Data - 214.8 KB - 3 Variables, 3681 Observations - UNF:6:K3C9Ld84eErOr34CQRfyLg== Documentation Variable identifiers and descriptions - machine-readable
Relating Pre-service Teachers' Language-related Biographical Experiences with their Noticing of Linguistically Diverse Classroom Situations - Questionnaire (SUF edition) Dec 5, 2024 - Public Weger, Denis, 2024, "Relating Pre-service Teachers' Language-related Biographical Experiences with their Noticing of Linguistically Diverse Classroom Situations - Questionnaire (SUF edition)", https://doi.org/10.11587/JKGBSM, 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 secondary education pre-service teachers from the U...
10865_da_de_v1_0.zip Dec 5, 2024 - Relating Pre-service Teachers' Language-related Biographical Experiences with their Noticing of Linguistically Diverse Classroom Situations - Questionnaire (SUF edition) ZIP Archive - 4.1 MB - MD5: 2e809c99553c3266b48f56516320d35c DataEXCEL Core data file – EXCEL format – 22 Variables, 20 Observations

10835_om_de_v1_0.pdf

Dec 5, 2024 - Microcensus Module 'Pensions and labour market participation' 2023 (SUF edition)

Adobe PDF - 101.2 KB -

Documentation

List of variables

10835_qu_de_v1_0.pdf

Dec 5, 2024 - Microcensus Module 'Pensions and labour market participation' 2023 (SUF edition)

Adobe PDF - 223.6 KB -

DocumentationQuestionnaire

Questionnaire

10875_da01_de_v1_0.tab

Dec 5, 2024 - Microcensus Module 'Pensions and labour market participation' 2023 (SUF edition)

Tabular Data - 8.3 MB - 220 Variables, 11925 Observations -

DataSTATA

Core data file, not imputed data (MZdg4e_GP_Modul_2023) - STATA format - 220 Variables, 11925 Observations

10875_da01_de_v1_0.zsav

Dec 5, 2024 - Microcensus Module 'Pensions and labour market participation' 2023 (SUF edition)

Unknown - 1.6 MB -

DataSPSS

Core data file, not imputed data (MZdg4e_GP_Modul_2023) - compressed SPSS format - 220 Variables, 11925 Observations

10875_da02_de_v1_0.tab

Dec 5, 2024 - Microcensus Module 'Pensions and labour market participation' 2023 (SUF edition)

Tabular Data - 9.6 MB - 271 Variables, 11925 Observations -

DataSTATA

Core data file, imputed data (MZdg8_GP_Modul_2023) - STATA format - 271 Variables, 11925 Observations

10875_da02_de_v1_0.zsav

Dec 5, 2024 - Microcensus Module 'Pensions and labour market participation' 2023 (SUF edition)

Unknown - 1.8 MB -

DataSPSS

Core data file, imputed data (MZdg8_GP_Modul_2023) - compressed SPSS format - 271 Variables, 11925 Observations

10875_readme.pdf

Dec 5, 2024 - Microcensus Module 'Pensions and labour market participation' 2023 (SUF edition)

Adobe PDF - 37.0 KB -

Documentation

Data curation protocol

10875_vi_de_v1_0.tab

Dec 5, 2024 - Microcensus Module 'Pensions and labour market participation' 2023 (SUF edition)

Tabular Data - 214.8 KB - 3 Variables, 3681 Observations -

Documentation

Variable identifiers and descriptions - machine-readable

Relating Pre-service Teachers' Language-related Biographical Experiences with their Noticing of Linguistically Diverse Classroom Situations - Questionnaire (SUF edition)

Dec 5, 2024 - Public

Weger, Denis, 2024, "Relating Pre-service Teachers' Language-related Biographical Experiences with their Noticing of Linguistically Diverse Classroom Situations - Questionnaire (SUF edition)", https://doi.org/10.11587/JKGBSM, 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 secondary education pre-service teachers from the U...

10865_da_de_v1_0.zip

Dec 5, 2024 - Relating Pre-service Teachers' Language-related Biographical Experiences with their Noticing of Linguistically Diverse Classroom Situations - Questionnaire (SUF edition)

ZIP Archive - 4.1 MB -

DataEXCEL

Core data file – EXCEL format – 22 Variables, 20 Observations

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