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

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21 to 30 of 38 Results
Stata Syntax - 12.8 KB - MD5: 7674bed3268a72a21cf0b4b78cad62ce
CodeDocumentation
STATA replication syntax
Plain Text - 12.8 KB - MD5: a1dc513220e12386ef244fc1988062ee
CodeDocumentation
STATA replication syntax
Dec 11, 2020
Andreadis, Ioannis, 2020, "Replication Data for: Text Message (SMS) Pre-notifications, Invitations and Reminders for Web Surveys", https://doi.org/10.11587/DX8NNE, AUSSDA, V1
This paper presents the findings derived from a mobile friendly web survey, during which all invitations and reminders were sent as text messages via short message service (SMS) to the mobile telephones of the target group. The web survey under study was conducted for the Nationa...
Gzip Archive - 24.5 KB - MD5: 40c113ce9d2b95f7942b743f1da113bf
DataR
Core data file - R format
R Syntax - 13.6 KB - MD5: 79be238885f3456aef54585a90ab77bb
CodeDocumentation
R code for replication
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 to...
Tabular Data - 618.6 KB - 12 Variables, 5075 Observations - UNF:6:vKdmXvcjdsZ7eoif6YnVOw==
Code
Core data file - tab format - 12 Variables, 5075 Observations
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. I...
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