gross_2026_cordon_dilemma

16,548 rated or chosen profiles from 2,773 respondents, in up to 3 tasks of 2 profiles varying on 7 attributes.

About this table

DescriptionGerman online respondents in Saxony, Thuringia and Western Germany (Aug-Sep 2024) chose between and rated two hypothetical CDU candidates in 3 rounds, varying age, gender, political experience, positions on refugee immigration, inequality and Ukraine, and willingness to cooperate with the far-right AfD. 2,773 respondents; binary choice and a -5..+5 thermometer.
ReferenceGross, M., Juen, C.-M., & Stecker, C. (2026). The cordon dilemma: How voters evaluate cooperation with the far-right in parliament. Comparative Political Studies.
DOI10.1177/00104140261448429
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/NPYXMK

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

Respondents2,773
Rows (one per respondent, task and profile)16,548
Tasks per respondent (most)3
Profiles per task2
Attributes7
Tasks with no profile chosen0

Design

Topiccandidate choice
A profile representsperson
CountryDE
Language shownde
Language of stored levelsde
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceWhich of the two candidates do you prefer? (paraphrase) [choice, forced]
ratingCandidate thermometer (paraphrase) [rating, -5 (unknown) to 5 (unknown)]

Columns

attr_afd_cooperationattr_ageattr_experienceattr_genderattr_income_differencesattr_refugee_immigrationattr_ukrainechoicecov_agecov_attention_passcov_duration_seccov_educationcov_gendercov_lr_selfcov_statecov_survey_regioncov_thermometer_afdcov_vote_federalcov_vote_stateidprofileratingtask

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("gross_2026_cordon_dilemma", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("gross_2026_cordon_dilemma", source="conj")

How to cite

@article{Gross_2026, title={The Cordon Dilemma: How Voters Evaluate Cooperation With the Far-Right in Parliament}, ISSN={1552-3829}, url={http://dx.doi.org/10.1177/00104140261448429}, DOI={10.1177/00104140261448429}, journal={Comparative Political Studies}, publisher={SAGE Publications}, author={Gross, Martin and Juen, Christina-Marie and Stecker, Christian}, year={2026}, month=May }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint v4.2
Redivis dataset DOI10.57761/qkye-q530
Manifest pin for this IRW versionv4.2
Metadata sourceirw_meta v44.0