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Surveying immigrant-origin voters in a post-migrant society : The first Immigrant German Election Study, 2017
Mayer, Sabrina Jasmin; Goerres, Achim; Spies, Dennis Christopher; u. a. (2024): Surveying immigrant-origin voters in a post-migrant society : The first Immigrant German Election Study, 2017, in: Electoral studies : an international journal on voting and electoral systems and strategy, Amsterdam [u.a.]: Elsevier Science, Jg. 89, Nr. 3, 102773, doi: 10.1016/j.electstud.2024.102773.
Faculty/Chair:
Author:
Title of the Journal:
Electoral studies : an international journal on voting and electoral systems and strategy
ISSN:
0261-3794
1873-6890
Publisher Information:
Year of publication:
2024
Volume:
89
Issue:
3, 102773
Language:
English
Abstract:
This paper introduces the Immigrant German Election Study (IMGES) as the first survey that explicitly targeted immigrant-origin voters in Germany. IMGES fills the gap of insufficient data in the field of immigrant-origin voters with a combination of proven and novel survey measures of the electoral behavior of people with a background from either Türkiye or from the former Soviet Union or its successor states. The study was carried out in a post-election, cross-sectional survey in 2017. Its compatibility with the German Longitudinal Election Study (GLES), the Ethnic Minority British Election Study (EMBES), and the Dutch Ethnic Minority Election Study (DEMES) allows for in-depth comparative analyses between immigrant-origin voters and natives across different countries. In addition to standard measures of electoral behavior, the data include measures of immigrant-specific factors relevant to voting behavior. Moreover, the dataset is not limited to voting behavior in Germany, it also includes transnational voting behavior in the respective countries of origin.
GND Keywords: ;  ;  ; 
Deutschland
Einwanderer
Wahlverhalten
Geschichte 2017
Keywords: ;  ;  ;  ;  ; 
Immigrant
Electoral behavior
Political integration
Political attitudes
Transnationalism
Discrimination
DDC Classification:
RVK Classification:
Type:
Article
Activation date:
July 5, 2024
Project(s):
Versioning
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https://fis.uni-bamberg.de/handle/uniba/96316