RepResent Longitudinal and Cross-sectional electoral survey 2019

This data deposit contains two surveys, organised by the FWO/FNRS Excellence of Science Consortium RepResent (Representation and Democratic Resentment) in the context of the 2019 general elections in Belgium. The RepResent project aims to understand how three forms of representations - substantive, procedural and symbolic - affect democratic resentment amongst the public. It brings together scholars from five Belgian universities, including University of Antwerp, Vrije Universiteit Brussel, KU Leuven, UCLouvain, and Université Libre de Bruxelles. For more information on the project, visit

The first dataset is the longitudinal dataset which contains survey data from a CAWI survey amongst representative samples of Flemish, Walloon and Brussels citizens. Respondents in this survey were surveyed twice, once before the elections, and once again immediately after the elections. In total, the wave 1 sample comprises N=7,351 respondents (3,298 in Flanders, 3,025 in Wallonia, and 1,028 in Brussels), whereas the wave 2 sample comprises N=3,917 respondents (1,978 in Flanders, 1,429 in Wallonia, and 510 in Brussels).

The second dataset is a cross sectional CAWI survey amongst Flemish (N=1,012) and Walloon (N=1,024) citizens that was organised immediately after the elections.

The deposit contains STATA and SPSS versions of each dataset, as well as accompanying codebooks that outline the field work, samples, and full questionnaires.

Metadata Access
Creator Walgrave, S. (University of Antwerp); Van Erkel, P. (University of Antwerp); Jennart, I.; Celis, K. (Vrije Universiteit Brussel); Deschouwer, K. (Vrije Universiteit Brussel); Marien, S. (KU Leuven); Pilet, J.B. (Université Libre de Bruxelles); Rihoux, B. (Université catholique de Louvain); Van Haute, E. (Université Libre de Bruxelles); Van Ingelgom, V. (Université catholique de Louvain); Baudewyns, P. (Université catholique de Louvain); Kern, A. (University of Ghent); Lefevere, J. (Vrije Universiteit Brussel)
Publisher Data Archiving and Networked Services (DANS)
Contributor Prof. Dr. Stefaan Walgrave (University of Antwerp)
Publication Year 2020
Rights info:eu-repo/semantics/restrictedAccess; License:
OpenAccess false
Language Dutch; Flemish
Resource Type Dataset
Format application/pdf; SPSS (.sav); STATA (.dta)
Discipline Political Science;Social Sciences