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License: CC BY 4.0 Attribution 4.0 International

321 to 330 of 381 Results

Replication Data for: Pouring water into wine: revisiting the advantages of the crosswise model for asking sensitive questions Jul 4, 2019 - Survey Methods: Insights from the Field Walzenbach, Sandra; Hinz, Thomas, 2019, "Replication Data for: Pouring water into wine: revisiting the advantages of the crosswise model for asking sensitive questions", https://doi.org/10.11587/KZIQ4A, AUSSDA, V1, UNF:6:E8F3X8hQApDi0hcGCTs3PA== [fileUNF] The Crosswise Model (CM) has been proposed as a method to reduce effects of social desirability in sensitive questions. In contrast with former variants of Randomized Response Techniques (RRTs), the crosswise model neither offers a self-protective response strategy, nor does it require a random device. For these reasons, the crosswise model has rec...
10046_sx_en_v1_0.do Jul 4, 2019 - Replication Data for: Pouring water into wine: revisiting the advantages of the crosswise model for asking sensitive questions Stata Syntax - 1.1 KB - MD5: 24b7ecc5b7840c439c22c6f2e06e1410 CodeDocumentation STATA replication syntax
10046_da_en_v1_0.tab Jul 4, 2019 - Replication Data for: Pouring water into wine: revisiting the advantages of the crosswise model for asking sensitive questions Tabular Data - 146.6 KB - 20 Variables, 1340 Observations - UNF:6:E8F3X8hQApDi0hcGCTs3PA== DataSTATA Core data file - STATA format
10020_da_de_v1_0-1.tab Mar 5, 2019 - ORF 'Sommergespräche': Strategies, Images and Issues in Political TV Interviews 1981-2016 (OA edition) Tabular Data - 2.1 MB - 37 Variables, 19108 Observations - UNF:6:o2BkmacVGc4SKuFIevv/SA== DataSTATA Core data file - Stata format - 37 variables, 19108 observations
10020_da_de_v1_0.tab Mar 5, 2019 - ORF 'Sommergespräche': Strategies, Images and Issues in Political TV Interviews 1981-2016 (OA edition) Tabular Data - 2.1 MB - 37 Variables, 19108 Observations - UNF:6:o2BkmacVGc4SKuFIevv/SA== Data
10020_da_de_v1_0.zsav Mar 5, 2019 - ORF 'Sommergespräche': Strategies, Images and Issues in Political TV Interviews 1981-2016 (OA edition) Unknown - 342.1 KB - MD5: 35e7aa42fbc3e28461633d6c08f95a32 DataSPSS Core data file - compressed SPSS format - 37 variables, 19108 observations
10020_vi_de_v1_0.tab Mar 5, 2019 - ORF 'Sommergespräche': Strategies, Images and Issues in Political TV Interviews 1981-2016 (OA edition) Tab-Delimited - 16.8 KB - MD5: a34280257054454d057a395fdb189fb4 Documentation Variable identifiers and descriptions - machine-readable
Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation. Feb 19, 2019 - Statistik Austria Göllner, Tobias; Klotz, Johannes, 2019, "Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation.", https://doi.org/10.11587/ZOOBKE, AUSSDA, V1 This SAS code extracts data from EU-SILC User Database (UDB) longitudinal files and edits it such that a file is produced that can be further used for differential mortality analyses. Information from the original D, R, H and P files is merged per person and possibly pooled over several longitudinal data releases. Vital status information is extrac...
10021_mr_en_v1_0.pdf Feb 19, 2019 - Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation. Adobe PDF - 769.0 KB - MD5: 7ae8fd689ed4492e8bbf1a4e2c620f59 DocumentationMethod report FACTAGE method report SAS-code
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

Replication Data for: Pouring water into wine: revisiting the advantages of the crosswise model for asking sensitive questions

Jul 4, 2019 - Survey Methods: Insights from the Field

Walzenbach, Sandra; Hinz, Thomas, 2019, "Replication Data for: Pouring water into wine: revisiting the advantages of the crosswise model for asking sensitive questions", https://doi.org/10.11587/KZIQ4A, AUSSDA, V1, UNF:6:E8F3X8hQApDi0hcGCTs3PA== [fileUNF]

The Crosswise Model (CM) has been proposed as a method to reduce effects of social desirability in sensitive questions. In contrast with former variants of Randomized Response Techniques (RRTs), the crosswise model neither offers a self-protective response strategy, nor does it require a random device. For these reasons, the crosswise model has rec...

10046_sx_en_v1_0.do

Jul 4, 2019 - Replication Data for: Pouring water into wine: revisiting the advantages of the crosswise model for asking sensitive questions

Stata Syntax - 1.1 KB -

CodeDocumentation

STATA replication syntax

10046_da_en_v1_0.tab

Jul 4, 2019 - Replication Data for: Pouring water into wine: revisiting the advantages of the crosswise model for asking sensitive questions

Tabular Data - 146.6 KB - 20 Variables, 1340 Observations -

DataSTATA

Core data file - STATA format

10020_da_de_v1_0-1.tab

Mar 5, 2019 - ORF 'Sommergespräche': Strategies, Images and Issues in Political TV Interviews 1981-2016 (OA edition)

Tabular Data - 2.1 MB - 37 Variables, 19108 Observations -

DataSTATA

Core data file - Stata format - 37 variables, 19108 observations

10020_da_de_v1_0.tab

Mar 5, 2019 - ORF 'Sommergespräche': Strategies, Images and Issues in Political TV Interviews 1981-2016 (OA edition)

Tabular Data - 2.1 MB - 37 Variables, 19108 Observations -

Data

10020_da_de_v1_0.zsav

Mar 5, 2019 - ORF 'Sommergespräche': Strategies, Images and Issues in Political TV Interviews 1981-2016 (OA edition)

Unknown - 342.1 KB -

DataSPSS

Core data file - compressed SPSS format - 37 variables, 19108 observations

10020_vi_de_v1_0.tab

Mar 5, 2019 - ORF 'Sommergespräche': Strategies, Images and Issues in Political TV Interviews 1981-2016 (OA edition)

Tab-Delimited - 16.8 KB -

Documentation

Variable identifiers and descriptions - machine-readable

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

Feb 19, 2019 - Statistik Austria

Göllner, Tobias; Klotz, Johannes, 2019, "Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation.", https://doi.org/10.11587/ZOOBKE, AUSSDA, V1

This SAS code extracts data from EU-SILC User Database (UDB) longitudinal files and edits it such that a file is produced that can be further used for differential mortality analyses. Information from the original D, R, H and P files is merged per person and possibly pooled over several longitudinal data releases. Vital status information is extrac...

10021_mr_en_v1_0.pdf

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

Adobe PDF - 769.0 KB -

DocumentationMethod report

FACTAGE method report SAS-code

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

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