Summary information

Study title

RepResent Cross Sectional Survey Fall 2021

Creator

J. Lefevere (Vrije Universiteit Brussel)
L. Van Dijk (KU Leuven)
S. Walgrave (University of Antwerp)
K. Celis (Vrije Universiteit Brussel)
K. Deschouwer (Vrije Universiteit Brussel)
S. Marien (KU Leuven)
J.B. Pilet (Université Libre De Bruxelles)
B. Rihoux (Université Catholique de Louvain)
E. Van Haute (Van Haute)
V. Van Ingelgom (Université Catholique de Louvain)
P. Baudewyns (Baudewyns)
S. Verhaegen (Maastricht University)
A. De Mulder (University of Antwerp)
S. Walgrave (University of Antwerp)

Study number / PID

doi:10.17026/dans-zkg-rftw (DOI)

easy-dataset:234752 (DANS-KNAW)

Data access

Information not available

Series

Not available

Abstract

This data deposit contains cross sectional survey data, organised by the FWO/FNRS Excellence of Science Consortium RepResent (Representation and Democratic Resentment) in Fall 2021 amongst adult citizens in Belgium's two largest regions (Flanders and Wallonia). 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 http://represent-project.be/

The survey data stems from a CAWI survey amongst a quota sample of Flemish and Walloon citizens, that resemble the population of the respective region in terms of age, gender and education. The field work ran from October 29: 2021 to November 14, 2021. In total, N=2,035 respondents completed the survey and are retained in the data.

The deposit contains CSV, STATA and SPSS versions of the dataset, as well as an accompanying codebook that briefly describe the field work, research design, samples, and full questionnaires.

Topics

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Methodology

Data collection period

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Country

Time dimension

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Analysis unit

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Universe

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Sampling procedure

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Kind of data

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Data collection mode

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Access

Publisher

DANS Data Station Social Sciences and Humanities

Publication year

2022

Terms of data access

Not available

Related publications

Not available