Summary information

Study title

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

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.

Related publications

Not available