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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21 to 30 of 35 Results

10667_da_en_v1_0.Rdata Dec 11, 2020 - Replication Data for: Text Message (SMS) Pre-notifications, Invitations and Reminders for Web Surveys Gzip Archive - 24.5 KB - MD5: 40c113ce9d2b95f7942b743f1da113bf DataR Core data file - R format
10667_sx_en_v1_0.R Dec 11, 2020 - Replication Data for: Text Message (SMS) Pre-notifications, Invitations and Reminders for Web Surveys R Syntax - 13.6 KB - MD5: 79be238885f3456aef54585a90ab77bb CodeDocumentation R code for replication
Replication Data for: Does name order still matter for candidates in a presidential primary poll in the US? Lack of response order effect in a web survey experiment Aug 27, 2019 Mingnan, Liu, 2017, "Replication Data for: Does name order still matter for candidates in a presidential primary poll in the US? Lack of response order effect in a web survey experiment", https://doi.org/10.11587/DUUGBY, AUSSDA, V2, UNF:6:vKdmXvcjdsZ7eoif6YnVOw== [fileUNF] During elections, political polls provide critical data for the support each candidate receives. For that reason, the measurement of questions asking about candidate support has been receiving some research attention. As the online survey is increasingly becoming a widely used tool for public opinion and election polls, evaluation of the measuremen...
10015_da_en_v1_0.tab Aug 27, 2019 - Replication Data for: Does name order still matter for candidates in a presidential primary poll in the US? Lack of response order effect in a web survey experiment Tabular Data - 618.6 KB - 12 Variables, 5075 Observations - UNF:6:vKdmXvcjdsZ7eoif6YnVOw== Code Core data file - tab format - 12 Variables, 5075 Observations
10015_sx_en_v1_0.R Aug 27, 2019 - Replication Data for: Does name order still matter for candidates in a presidential primary poll in the US? Lack of response order effect in a web survey experiment R Syntax - 8.2 KB - MD5: ae180e3020e785e8fb5dd659da231fd9 Code replication R script
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 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 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...

10667_da_en_v1_0.Rdata

Dec 11, 2020 - Replication Data for: Text Message (SMS) Pre-notifications, Invitations and Reminders for Web Surveys

Gzip Archive - 24.5 KB -

DataR

Core data file - R format

10667_sx_en_v1_0.R

Dec 11, 2020 - Replication Data for: Text Message (SMS) Pre-notifications, Invitations and Reminders for Web Surveys

R Syntax - 13.6 KB -

CodeDocumentation

R code for replication

Replication Data for: Does name order still matter for candidates in a presidential primary poll in the US? Lack of response order effect in a web survey experiment

Aug 27, 2019

Mingnan, Liu, 2017, "Replication Data for: Does name order still matter for candidates in a presidential primary poll in the US? Lack of response order effect in a web survey experiment", https://doi.org/10.11587/DUUGBY, AUSSDA, V2, UNF:6:vKdmXvcjdsZ7eoif6YnVOw== [fileUNF]

During elections, political polls provide critical data for the support each candidate receives. For that reason, the measurement of questions asking about candidate support has been receiving some research attention. As the online survey is increasingly becoming a widely used tool for public opinion and election polls, evaluation of the measuremen...

10015_da_en_v1_0.tab

Aug 27, 2019 - Replication Data for: Does name order still matter for candidates in a presidential primary poll in the US? Lack of response order effect in a web survey experiment

Tabular Data - 618.6 KB - 12 Variables, 5075 Observations -

Code

Core data file - tab format - 12 Variables, 5075 Observations

10015_sx_en_v1_0.R

Aug 27, 2019 - Replication Data for: Does name order still matter for candidates in a presidential primary poll in the US? Lack of response order effect in a web survey experiment

R Syntax - 8.2 KB -

Code

replication R script

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

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

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...

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