Euromanifesto Study 2014

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Research Design

The 2014 wave of the Euromanifesto Study was funded in the framework of the EUENGAGE project which received funding from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No. 649281 — EUENGAGE — H2020-EURO-2014-2015/H2020-EURO-SOCIETY-2014.

For this specific study year, the content analysis of 199 Euromanifestos (party programs) for the 2014 EP Elections from 28 Countries and the European Groups was conducted. The Codebook includes the detailed list of coded Euromanifestos, the Coding Procedure, and the Euromanifestos Coding Scheme (EMCS). Euromanifestos coded by 30 coders from all member states of the European Union using a hierarchical classification scheme containing nine domains subdivided into different categories and subcategories. The collection of manifestos intends to cover all relevant parties. In general, its representation in the national parliament indicates the relevance of a political party. The coded manifestos are archived in PDF and ASCII (UTF-8) format at MZES.

The main innovation of the 2014 Euromanfieto study consists in expanding the EMCS to accommodate the goals of the EUENGAGE project. Thus a number of new coding (sub) categories were added to the EMCS to capture the stances of parties regarding the Euro crisis, the security crisis (i.e. the peace, military, and FSR have now specific sub-categories) and the immigration crisis. Furthermore, new categories were developed to capture both  current issues (i.e. energy policies or environmental issues) and the recent institutional changes in the EU (i.e the nomination of the president of the European Commission.

How to cite this data: Schmitt, Hermann, Daniela Braun, Sebastian A. Popa, Slava Mikhaylov, and Felix Dwinger. 2016. European Parliament Election Study 2014, Euromanifesto Study. GESIS Data Archive, Cologne. ZA5162 Data File Version 1.0.0, doi:10.4232/1.5162


GESIS Data Archive

The data and documentation of the 2014 Euromanifesto Study are available at the Cologne-based GESIS Data Archive for the Social Sciences