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151 to 160 of 193 Results

National election results Austria 1919 - 2017 (OA edition) Jul 24, 2019 - SORA SORA, 2019, "National election results Austria 1919 - 2017 (OA edition)", https://doi.org/10.11587/EQUDAL, AUSSDA, V1 Full edition for public use. Election results of the national elections in Austria 1919 to 2017. In the first republic at the level of the judicial districts, in the second republic at the municipal level.
10049_co_de_v1_0.pdf Jul 24, 2019 - National election results Austria 1919 - 2017 (OA edition) Adobe PDF - 309.7 KB - MD5: 719cf32fe7206ebf8bae8a7e44d2337d CodebookDocumentation Codebook
10049_da_de_v1_0.zip Jul 24, 2019 - National election results Austria 1919 - 2017 (OA edition) ZIP Archive - 5.6 MB - MD5: e34caebdf568bc60e29f9206f7c1c74f DataEXCEL Data files - Excel format; 10049_da01_de_v1_0.xlsx (1919-1930), 10049_da02_de_v1_0.xlsx (1945-2017)
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. In the case of the Austrian Immigrant Survey 2016, an onomastic (name-b...
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 require a random device. For these reasons, the crosswise model has rec...
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

National election results Austria 1919 - 2017 (OA edition)

Jul 24, 2019 - SORA

SORA, 2019, "National election results Austria 1919 - 2017 (OA edition)", https://doi.org/10.11587/EQUDAL, AUSSDA, V1

Full edition for public use. Election results of the national elections in Austria 1919 to 2017. In the first republic at the level of the judicial districts, in the second republic at the municipal level.

10049_co_de_v1_0.pdf

Jul 24, 2019 - National election results Austria 1919 - 2017 (OA edition)

Adobe PDF - 309.7 KB -

CodebookDocumentation

Codebook

10049_da_de_v1_0.zip

Jul 24, 2019 - National election results Austria 1919 - 2017 (OA edition)

ZIP Archive - 5.6 MB -

DataEXCEL

Data files - Excel format; 10049_da01_de_v1_0.xlsx (1919-1930), 10049_da02_de_v1_0.xlsx (1945-2017)

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. In the case of the Austrian Immigrant Survey 2016, an onomastic (name-b...

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 require a random device. For these reasons, the crosswise model has rec...

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

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