ferrer_2025_liberal_democracy

129,030 rated or chosen profiles from 12,903 respondents, in up to 5 tasks of 2 profiles varying on 7 attributes.

About this table

DescriptionAdults in seven countries (Hungary, Israel, Poland, Portugal, Spain, Sweden, UK; n = 12,903) compared pairs of hypothetical countries described by elections, media, protests, judges, parliament, laws and citizens' income, five times, choosing one and rating each 0-10.
ReferenceFerrer, S., Hernández, E., Prada, E., & Tomic, D. (2025). The value of liberal democracy: Assessing citizens' commitment to democratic principles. European Journal of Political Research, 64(4).
DOI10.1111/1475-6765.70021
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/GA9WBR

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents12,903
Rows (one per respondent, task and profile)129,030
Tasks per respondent (most)5
Profiles per task2
Attributes7
Tasks with no profile chosen0

Design

Topicdemocracy institutions
A profile representsplace
CountryHU, IL, PL, PT, ES, SE, GB
Language shownhu, he, pl, pt, es, sv, en
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceChoice between the two hypothetical countries (paraphrase; select = 1 for the chosen country; wording not in the deposit) [choice, forced]
ratingRating of each hypothetical country, 0-10 (paraphrase; column `like`, wording not in the deposit) [rating, 0 (unknown) to 10 (unknown)]

Columns

attr_electionsattr_incomeattr_judgesattr_lawsattr_mediaattr_parliamentattr_protestschoicecov_countryidprofileratingtasktrial_income_shown

The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("ferrer_2025_liberal_democracy", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("ferrer_2025_liberal_democracy", source="conj")

How to cite

@article{Ferrer_2025, title={The value of liberal democracy: Assessing citizens’ commitment to democratic principles}, volume={64}, ISSN={1475-6765}, url={http://dx.doi.org/10.1111/1475-6765.70021}, DOI={10.1111/1475-6765.70021}, number={4}, journal={European Journal of Political Research}, publisher={Cambridge University Press (CUP)}, author={Ferrer, Sergi and Hernández, Enrique and Prada, Enrique and Tomic, Damjan}, year={2025}, month=Nov, pages={2018–2038} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint_2 v1.4
Redivis dataset DOI10.57761/hk97-wv30
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v44.0