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5,611 to 5,620 of 5,881 Results

10048_vi_en_v1_0.tab Jul 18, 2019 - European Values Study 1990-2018 Austria Longitudinal Data (SUF edition) Tab-Delimited - 274.8 KB - MD5: 25b44a5f8c0aa54d7b21cb0ebe04536c Documentation Variable identifiers and descriptions - machine-readable English
10043_mr_de_v1_1.pdfUnpublished Jul 17, 2019 - Social Survey Austria 2018 (SUF edition) Adobe PDF - 233.5 KB - MD5: 85fadfd254b10c42918678ce173b5e46 DocumentationMethod report Method report
Replication Data for: Building a Sampling Frame for Migrant Populations via an Onomastic Approach – Lesson learned from the Austrian Immigrant Survey 2016 Jul 4, 2019 - Survey Methods: Insights from the Field Prandner, Dimitri; Weichbold, Martin, 2019, "Replication Data for: Building a Sampling Frame for Migrant Populations via an Onomastic Approach – Lesson learned from the Austrian Immigrant Survey 2016", https://doi.org/10.11587/DIDYRW, AUSSDA, V1, UNF:6:e4yxYoEsSELMSRaP3PdwRQ== [fileUNF] Immigrants are traditionally seen as hard to survey. Their number is often too small to be analysed via data gained in general population surveys, and registers to identify them are often missing or incomplete. Therefore, researchers are forced to use alternatives for sampling. I...
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",...

10048_vi_en_v1_0.tab

Jul 18, 2019 - European Values Study 1990-2018 Austria Longitudinal Data (SUF edition)

Tab-Delimited - 274.8 KB -

Documentation

Variable identifiers and descriptions - machine-readable English

10043_mr_de_v1_1.pdfUnpublished

Jul 17, 2019 - Social Survey Austria 2018 (SUF edition)

Adobe PDF - 233.5 KB -

DocumentationMethod report

Method report

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

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

Prandner, Dimitri; Weichbold, Martin, 2019, "Replication Data for: Building a Sampling Frame for Migrant Populations via an Onomastic Approach – Lesson learned from the Austrian Immigrant Survey 2016", https://doi.org/10.11587/DIDYRW, AUSSDA, V1, UNF:6:e4yxYoEsSELMSRaP3PdwRQ== [fileUNF]

Immigrants are traditionally seen as hard to survey. Their number is often too small to be analysed via data gained in general population surveys, and registers to identify them are often missing or incomplete. Therefore, researchers are forced to use alternatives for sampling. I...

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",...

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