Survey Methods: Insights from the Field

Replication data for articles in the peer-reviewed online journal Survey Methods: Insights from the Field

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31 to 38 of 38 Results

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 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
Replication Data for: International Nonresponse Trends across Countries and Years - An analysis of 36 years of Labour Force Survey data Dec 20, 2018 de Leeuw, Edith; Hox, Joop; Luiten, Annemieke, 2018, "Replication Data for: International Nonresponse Trends across Countries and Years - An analysis of 36 years of Labour Force Survey data", https://doi.org/10.11587/IZNRQ5, AUSSDA, V1, UNF:6:ig/vuGEsl4MRLs7fnDOXtg== [fileUNF] Household survey nonresponse is a matter of concern in many countries. In one of the first international trend analyses, de Leeuw and de Heer (2002) found that response rates declined over the years, and that countries differed in response rates and nonresponse trends. Their anal...
10034_da_en_v1_0.tab Dec 20, 2018 - Replication Data for: International Nonresponse Trends across Countries and Years - An analysis of 36 years of Labour Force Survey data Tabular Data - 64.4 KB - 12 Variables, 530 Observations - UNF:6:ig/vuGEsl4MRLs7fnDOXtg== Data
10034_da_en_v1_0.zsav Dec 20, 2018 - Replication Data for: International Nonresponse Trends across Countries and Years - An analysis of 36 years of Labour Force Survey data Unknown - 15.6 KB - MD5: a173e4689ebd27ebf807872c543e4a67 DataSPSS Core data file - compressed SPSS format - 12 Variables, 530 Observations - English

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

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

Replication Data for: International Nonresponse Trends across Countries and Years - An analysis of 36 years of Labour Force Survey data

Dec 20, 2018

de Leeuw, Edith; Hox, Joop; Luiten, Annemieke, 2018, "Replication Data for: International Nonresponse Trends across Countries and Years - An analysis of 36 years of Labour Force Survey data", https://doi.org/10.11587/IZNRQ5, AUSSDA, V1, UNF:6:ig/vuGEsl4MRLs7fnDOXtg== [fileUNF]

Household survey nonresponse is a matter of concern in many countries. In one of the first international trend analyses, de Leeuw and de Heer (2002) found that response rates declined over the years, and that countries differed in response rates and nonresponse trends. Their anal...

10034_da_en_v1_0.tab

Dec 20, 2018 - Replication Data for: International Nonresponse Trends across Countries and Years - An analysis of 36 years of Labour Force Survey data

Tabular Data - 64.4 KB - 12 Variables, 530 Observations -

Data

10034_da_en_v1_0.zsav

Dec 20, 2018 - Replication Data for: International Nonresponse Trends across Countries and Years - An analysis of 36 years of Labour Force Survey data

Unknown - 15.6 KB -

DataSPSS

Core data file - compressed SPSS format - 12 Variables, 530 Observations - English

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