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Publication Status: Published

5,731 to 5,740 of 5,881 Results

10021_sx1_en_v1_0.sas Feb 19, 2019 - Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation. SAS Syntax - 18.3 KB - MD5: d8e2d1d54896ba2abcc93ff34fdec3d9 CodeDocumentation Load macros in SAS
10021_sx2_en_v1_0.sas Feb 19, 2019 - Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation. SAS Syntax - 4.4 KB - MD5: 3210faebac1de916c4badd9c7bff8da3 CodeDocumentation SAS Application
10021_sx3_en_v1_0.R Feb 19, 2019 - Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation. R Syntax - 1.0 KB - MD5: 77b7aea9eed0aee8e355375ed4ed2073 CodeDocumentation Exemplary analysis in R
10021_sx4_en_v1_0.sas Feb 19, 2019 - Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation. SAS Syntax - 2.4 KB - MD5: bd3595180028bcf512221f1e5721121c CodeDocumentation Exemplary analysis in SAS
10021_sx5_en_v1_0.sps Feb 19, 2019 - Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation. SPSS Syntax - 891 B - MD5: 6081da258105ba36fa9bfb306349660f CodeDocumentation Exemplary analysis in SPSS
Replication Data for: Who is even studying journalism to become a journalist? Jan 16, 2019 - Public Prandner, Dimitri; Moosbrugger, Robert, 2019, "Replication Data for: Who is even studying journalism to become a journalist?", https://doi.org/10.11587/VKYZPD, AUSSDA, V1 The paper addresses the question why people are entering training programs which disseminate knowledge necessary for becoming part of the journalistic profession and how these motives go along with the intention to become a member of the profession. Therefore it draws on data col...
10028_da_en_v1_0.zsav Jan 16, 2019 - Replication Data for: Who is even studying journalism to become a journalist? Unknown - 16.6 KB - MD5: 1e698a587ff1a75e3ad9c6cc813fe7df DataSPSS Core data file - compressed SPSS format - 28 Variables, 428 Observations
10028_sx_en_v1_0.sps Jan 16, 2019 - Replication Data for: Who is even studying journalism to become a journalist? SPSS Syntax - 11.2 KB - MD5: 54f1c95feab00a5e7d2a948d5a472a3a Code SPSS replication syntax
Replication Data for: International Nonresponse Trends across Countries and Years - An analysis of 36 years of Labour Force Survey data Dec 20, 2018 - Survey Methods: Insights from the Field de Leeuw, Edith; Hox, Joop; Luiten, Annemieke, 2018, "Replication Data for: International Nonresponse Trends across Countries and Years - An analysis of 36 years of Labour Force Survey data", https://doi.org/10.11587/IZNRQ5, AUSSDA, V1, UNF:6:ig/vuGEsl4MRLs7fnDOXtg== [fileUNF] Household survey nonresponse is a matter of concern in many countries. In one of the first international trend analyses, de Leeuw and de Heer (2002) found that response rates declined over the years, and that countries differed in response rates and nonresponse trends. Their anal...
10034_da_en_v1_0.tab Dec 20, 2018 - Replication Data for: International Nonresponse Trends across Countries and Years - An analysis of 36 years of Labour Force Survey data Tabular Data - 64.4 KB - 12 Variables, 530 Observations - UNF:6:ig/vuGEsl4MRLs7fnDOXtg== Data

10021_sx1_en_v1_0.sas

Feb 19, 2019 - Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation.

SAS Syntax - 18.3 KB -

CodeDocumentation

Load macros in SAS

10021_sx2_en_v1_0.sas

Feb 19, 2019 - Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation.

SAS Syntax - 4.4 KB -

CodeDocumentation

SAS Application

10021_sx3_en_v1_0.R

Feb 19, 2019 - Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation.

R Syntax - 1.0 KB -

CodeDocumentation

Exemplary analysis in R

10021_sx4_en_v1_0.sas

Feb 19, 2019 - Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation.

SAS Syntax - 2.4 KB -

CodeDocumentation

Exemplary analysis in SAS

10021_sx5_en_v1_0.sps

Feb 19, 2019 - Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation.

SPSS Syntax - 891 B -

CodeDocumentation

Exemplary analysis in SPSS

Replication Data for: Who is even studying journalism to become a journalist?

Jan 16, 2019 - Public

Prandner, Dimitri; Moosbrugger, Robert, 2019, "Replication Data for: Who is even studying journalism to become a journalist?", https://doi.org/10.11587/VKYZPD, AUSSDA, V1

The paper addresses the question why people are entering training programs which disseminate knowledge necessary for becoming part of the journalistic profession and how these motives go along with the intention to become a member of the profession. Therefore it draws on data col...

10028_da_en_v1_0.zsav

Jan 16, 2019 - Replication Data for: Who is even studying journalism to become a journalist?

Unknown - 16.6 KB -

DataSPSS

Core data file - compressed SPSS format - 28 Variables, 428 Observations

10028_sx_en_v1_0.sps

Jan 16, 2019 - Replication Data for: Who is even studying journalism to become a journalist?

SPSS Syntax - 11.2 KB -

Code

SPSS replication syntax

Replication Data for: International Nonresponse Trends across Countries and Years - An analysis of 36 years of Labour Force Survey data

Dec 20, 2018 - Survey Methods: Insights from the Field

de Leeuw, Edith; Hox, Joop; Luiten, Annemieke, 2018, "Replication Data for: International Nonresponse Trends across Countries and Years - An analysis of 36 years of Labour Force Survey data", https://doi.org/10.11587/IZNRQ5, AUSSDA, V1, UNF:6:ig/vuGEsl4MRLs7fnDOXtg== [fileUNF]

Household survey nonresponse is a matter of concern in many countries. In one of the first international trend analyses, de Leeuw and de Heer (2002) found that response rates declined over the years, and that countries differed in response rates and nonresponse trends. Their anal...

10034_da_en_v1_0.tab

Dec 20, 2018 - Replication Data for: International Nonresponse Trends across Countries and Years - An analysis of 36 years of Labour Force Survey data

Tabular Data - 64.4 KB - 12 Variables, 530 Observations -

Data

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