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Survey Methods: Insights from the Field

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5,681 to 5,690 of 5,953 Results

10048_om01_en_v1_0.pdf Jul 18, 2019 - European Values Study 1990-2018 Austria Longitudinal Data (SUF edition) Adobe PDF - 110.8 KB - MD5: b0586ef233282253e7182e2d603d4491 CodebookDocumentationQuestionnaire Supporting material: Links to all codebooks and questionnaires for EVS Austria 1990 – 2018
10048_om02_en_v1_0.pdf Jul 18, 2019 - European Values Study 1990-2018 Austria Longitudinal Data (SUF edition) Adobe PDF - 315.9 KB - MD5: 6f5d318333607fbf4b18539efe86f71f Documentation EVS Austria 1990 - 2018: List of all variables in all 4 waves
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

10048_om01_en_v1_0.pdf

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

Adobe PDF - 110.8 KB -

CodebookDocumentationQuestionnaire

Supporting material: Links to all codebooks and questionnaires for EVS Austria 1990 – 2018

10048_om02_en_v1_0.pdf

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

Adobe PDF - 315.9 KB -

Documentation

EVS Austria 1990 - 2018: List of all variables in all 4 waves

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

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