European Election Studies 2019: Manifesto Project
GESIS, Cologne. ZA7891 Data file Version 1.0.0, https://doi.org/10.4232/1.13976
Abstract: The Euromanifesto Project (EM Project) is one of five components of the European Election Studies (EES). The aim of the project is to collect all party manifestos issued by political parties and the European political groups in the run-up to the European Parliament (EP) elections in all EU member states. The present dataset contains a content analysis of 221 party programs for the 2019 EP elections from 28 countries and the European political groups. Party manifestos were coded by 27 coders from all European Union member states using a hierarchical classification scheme with nine domains divid ... more Content: Domain 1: External relations
Foreign Special Relationships: FSR general, FSR to Eastern European countries of the EU; FSR to Eastern European countries not in the EU (except Ukraine); FSR to Russia, to USA, to Ukraine, to Syria; anti-imperialism; military: military general, military Ukraine, military Syria; peace: peace general, peace Ukraine, peac ... more Methodology
Date(s) of Data Collection: 2019
Geographic coverage: Austria (AT) | Bulgaria (BG) | Belgium (BE) | Croatia (HR) | Cyprus (CY) | Czech Republic (CZ) | Denmark (DK) | Estonia (EE) | Finland (FI) | France (FR) | Germany (DE) | Greece (GR) | Hungary (HU) | Ireland (IE) | Italy (IT) | Latvia (LV) | Lithuania (LT) | Luxembourg (LU) | Malta (MT) | Netherlands (NL) | Poland (PL) | Portugal (PT) | Romania (RO ... more Universe: Party programs/manifestos of relevant parties in the EU published in the run-up to the 2019 European Parliament elections. Relevant parties in the EU are those that have been represented in the European Parliament at least once. However, political parties that have not been represented in the European Parliament for two consecutive legislative peri ... more Number of Units: 221
Sampling Procedure: • Total universe/Complete enumeration;
Temporal Research Design: Cross-section Analysis Unit: Media unit: Text Mode of Data Collection: • Content coding;
Data Collector: Austria: Carsten Wegscheider, University of Salzburg, Austria;
Bulgaria: Tanyo Emilov Vasilev;
Wallonia: Elena Pérez Velasco, University of Namur, Belgium;
Flanders: Gilles Pittoors, University of Gent, Belgium;
Croatia: Dario Nikic Cakar, Zagreb University, Croatia;
Cyprus: Alexandros-Christos Gkotinakos, Aristotle University of Thessaloniki, Gree ... more Analysis System(s): SPSS, Stata
Number of Variables: 781
Bibliographic information
Principal Investigator/ Authoring Entity, Institution: Reinl, Ann-Kathrin - Ghent University, Ghent, Belgium | Braun, Daniela - Saarland University, Saarbrücken
Publication year: 2023
DOI: 10.4232/1.13976
Study number: ZA7891
Publisher: GESIS
Versions
Current Version: 1.0.0, 2023-03-02, https://doi.org/10.4232/1.13976
Version history: ... more Reference publications
Publications: Reinl, Ann-Kathrin; Braun, Daniela:
2019 Euromanifesto Study Documentation : Content Analysis of 221 Party Manifestos for the 2019 EP Elections from 28 Countries and the European Groups - Codebook
Study group: European Parliament Election Study - Euromanifestos |
show all hits of the groupCoded version of election programs. Manifestos issued ahead of the European elections. European Election Studies |
show all hits of the groupThe European Election Studies (EES) offer data about electoral behaviour in European Parliament elections. Collecting survey data as well as a variety of other data types, they cover topics such as the evolution of a political community in the European Union, citizens´ perceptions of and preferences about the EU political regime, and the evaluation ... moreGESIS Community Data |
show all hits of the groupGESIS Community Data contains German and international research data that have been specially prepared for secondary analysis and academic teaching. These are studies that have been donated to GESIS by the scientific community and are processed by us in the spirit of open science. The collection constantly expands and contains data from six decades ... more