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Publication Year: 2019

101 to 110 of 224 Results

10047_da_de_v1_0.tab Jul 4, 2019 - Replication Data for: Building a Sampling Frame for Migrant Populations via an Onomastic Approach – Lesson learned from the Austrian Immigrant Survey 2016 Tabular Data - 32.8 KB - 11 Variables, 600 Observations - UNF:6:e4yxYoEsSELMSRaP3PdwRQ== Data
10047_da_de_v1_0.zsav Jul 4, 2019 - Replication Data for: Building a Sampling Frame for Migrant Populations via an Onomastic Approach – Lesson learned from the Austrian Immigrant Survey 2016 Unknown - 9.0 KB - MD5: a2f953f1cf05bbd28e871a991c38a13e DataSPSS Core data file - compressed SPSS format - 11 Variables, 600 Observations - German
10047_sx_en_v1_0.sps Jul 4, 2019 - Replication Data for: Building a Sampling Frame for Migrant Populations via an Onomastic Approach – Lesson learned from the Austrian Immigrant Survey 2016 SPSS Syntax - 5.5 KB - MD5: 22662ab36bd39ddf4985660d14dd6a56 Code SPSS replication syntax
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 r...
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
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
PUMA Survey 6.1. Insights in societal changes in Austria Jul 3, 2019 - PUMA PUMA, 2019, "PUMA Survey 6.1. Insights in societal changes in Austria", https://doi.org/10.11587/O4UDDL, AUSSDA, V1, UNF:6:JEz8bedpmOKUjf/TrwbVpg== [fileUNF] Full edition for scientific use. PUMA Surveys consist of separate modules designed and prepared by different principle investigators. This PUMA Survey consists of three modules: MODULE 1 "How gender and gender stereotypes affect perceptions of competence for ministerial office",...
10045_co_de_v1_0.pdf Jul 3, 2019 - PUMA Survey 6.1. Insights in societal changes in Austria Adobe PDF - 746.7 KB - MD5: 8c53f87bb801de0dee71cf1bd73e8cce Codebook
10045_da_de_v1_0-1.tab Jul 3, 2019 - PUMA Survey 6.1. Insights in societal changes in Austria Tabular Data - 1011.0 KB - 144 Variables, 1088 Observations - UNF:6:tRpgQo1p54rNIV4sx/iWzQ== Core data file - STATA format - 144 Variables, 1088 Observations
10045_da_de_v1_0.tab Jul 3, 2019 - PUMA Survey 6.1. Insights in societal changes in Austria Tabular Data - 985.7 KB - 144 Variables, 1088 Observations - UNF:6:y6l2qyIARkz1IYSXzavS9g==

10047_da_de_v1_0.tab

Jul 4, 2019 - Replication Data for: Building a Sampling Frame for Migrant Populations via an Onomastic Approach – Lesson learned from the Austrian Immigrant Survey 2016

Tabular Data - 32.8 KB - 11 Variables, 600 Observations -

Data

10047_da_de_v1_0.zsav

Jul 4, 2019 - Replication Data for: Building a Sampling Frame for Migrant Populations via an Onomastic Approach – Lesson learned from the Austrian Immigrant Survey 2016

Unknown - 9.0 KB -

DataSPSS

Core data file - compressed SPSS format - 11 Variables, 600 Observations - German

10047_sx_en_v1_0.sps

Jul 4, 2019 - Replication Data for: Building a Sampling Frame for Migrant Populations via an Onomastic Approach – Lesson learned from the Austrian Immigrant Survey 2016

SPSS Syntax - 5.5 KB -

Code

SPSS replication syntax

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 r...

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

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

PUMA Survey 6.1. Insights in societal changes in Austria

Jul 3, 2019 - PUMA

PUMA, 2019, "PUMA Survey 6.1. Insights in societal changes in Austria", https://doi.org/10.11587/O4UDDL, AUSSDA, V1, UNF:6:JEz8bedpmOKUjf/TrwbVpg== [fileUNF]

Full edition for scientific use. PUMA Surveys consist of separate modules designed and prepared by different principle investigators. This PUMA Survey consists of three modules: MODULE 1 "How gender and gender stereotypes affect perceptions of competence for ministerial office",...

10045_co_de_v1_0.pdf

Jul 3, 2019 - PUMA Survey 6.1. Insights in societal changes in Austria

Adobe PDF - 746.7 KB -

Codebook

10045_da_de_v1_0-1.tab

Jul 3, 2019 - PUMA Survey 6.1. Insights in societal changes in Austria

Tabular Data - 1011.0 KB - 144 Variables, 1088 Observations -

Core data file - STATA format - 144 Variables, 1088 Observations

10045_da_de_v1_0.tab

Jul 3, 2019 - PUMA Survey 6.1. Insights in societal changes in Austria

Tabular Data - 985.7 KB - 144 Variables, 1088 Observations -

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