gothreau_2026_women_candidates

200,536 rated or chosen profiles from 14,324 respondents, in up to 7 tasks of 2 profiles varying on 7 attributes.

About this table

Description14,324 respondents from YouGov and partner panels in 20 countries (2022-2024) each chose between 7 pairs of hypothetical candidates varying gender, age, political experience, children, ideology, occupation and country of origin, for national or local office.
ReferenceGothreau, C., & Laustsen, L. (2026). Women and left-wing citizens prefer women candidates: Testing consistency and psychological processes across twenty diverse countries. Public Opinion Quarterly, 90(SI), 989-1016.
DOI10.1093/poq/nfag045
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/UEVNRJ

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

Respondents14,324
Rows (one per respondent, task and profile)200,536
Tasks per respondent (most)7
Profiles per task2
Attributes7
Tasks with no profile chosen0

Design

Topiccandidate choice
A profile representsperson
CountryAR, BR, DK, DE, HU, IN, ID, JP, KE, LT, MY, MX, MA, NG, RO, ZA, ES, TR, UA, US
Language shownunknown
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceWhich candidate would you support? [choice, forced]

Columns

attr_ageattr_childrenattr_experienceattr_genderattr_ideologyattr_occupationattr_originchoicecov_agecov_asi_benevolent1cov_asi_benevolent2cov_asi_benevolent3cov_asi_benevolent4cov_asi_hostile1cov_asi_hostile2cov_asi_hostile3cov_asi_hostile4cov_attention_checkcov_countrycov_dominant_ethnicitycov_factcheck_passedcov_femininecov_gendercov_higheredcov_left_rightcov_masculinecov_survey_weightidprofiletasktrial_attr_ordertrial_officetrial_wave

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("gothreau_2026_women_candidates", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("gothreau_2026_women_candidates", source="conj")

How to cite

@article{Gothreau_2026, title={Women and Left-Wing Citizens Prefer Women Candidates: Testing Consistency and Psychological Processes Across Twenty Diverse Countries}, volume={90}, ISSN={1537-5331}, url={http://dx.doi.org/10.1093/poq/nfag045}, DOI={10.1093/poq/nfag045}, number={SI}, journal={Public Opinion Quarterly}, publisher={Oxford University Press (OUP)}, author={Gothreau, Claire and Laustsen, Lasse}, year={2026}, pages={989–1016} }

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