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SCoRE - Sub-national Context and Radical Right Support in Europe - Geo-referenced Data
Creator
Arzheimer, Kai (Institut für Politikwissenschaft, Johannes Gutenberg-Universität Mainz )
Berning, Carl C. (Institut für Politikwissenschaft, Johannes Gutenberg-Universität Mainz )
Study number / PID
ZA8769, Version 1.0.0 (GESIS)
10.4232/1.14316 (DOI)
Data access
Information not available
Series
Not available
Abstract
The data for the research project SCORE – Sub-national Context and Radical Right Support in Europe was collected in 2017. The research project focuses on analysing the causes and effects of sub-national differences in support for the radical right in Germany with the aim of improving the existing patterns.
The survey evaluated opinions and attitudes on a range of topics, including Euroscepticism, right-wing populism, attitudes towards Islam, globalisation, political identification and participation. The dataset was collected as part of the German component of the transnational project Sub-National Context and Radical Right Support in Europe (SCoRE), which involves France, Germany, the Netherlands and the United Kingdom. The online survey was conducted by infratest dimap (N=25976).
Another aim of the survey is to analyse the data at a small-scale regional level. To this end, the datasets were categorised into a regional structure during data processing. Based on the respondents´ address data, geocodes (meridians and parallel arcs) were assigned to each data set using the offline software Map&Market premium. The data records were located within a regional radius defined by the Federal Statistical Office on the basis of the previously determined geocodes. For this purpose, a number of 362,000 grid cells with a size of one square kilometre were used. Grid cells in which the number of respondents was less than six were aggregated to avoid the possibility of re-identification. In accordance with the provisions of the German Data Protection Act, address data and survey data were kept separate at all times during the process and all process steps were supervised by infratest dimap´s data protection officer. In particular, data protection was ensured by mapping addresses and geocodes completely offline.
The sample was adjusted to the demographic structures of the universe derived from official statistics. The current population extrapolation and the current...
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Keywords
Not available
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
29/05/2017 - 28/06/2017
Country
Germany
Time dimension
Cross-section
Analysis unit
Geographic unit
Universe
Not available
Sampling procedure
Non-probability: Quota
Kind of data
Geospatial
Data collection mode
Self-administered questionnaire: Web-based (CAWI)
Access
Publisher
GESIS Data Archive for the Social Sciences
Publication year
2024
Terms of data access
C - Data and documents are only released for academic research and teaching after the data depositor's written authorization. For this purpose the Data Archive obtains a written permission with specification of the user and the analysis intention.