200,536 rated or chosen profiles from 14,324 respondents, in up to 7 tasks of 2 profiles varying on 7 attributes.
| Description | 14,324 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. |
|---|---|
| Reference | Gothreau, 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. |
| DOI | 10.1093/poq/nfag045 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/UEVNRJ |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 14,324 |
|---|---|
| Rows (one per respondent, task and profile) | 200,536 |
| Tasks per respondent (most) | 7 |
| Profiles per task | 2 |
| Attributes | 7 |
| Tasks with no profile chosen | 0 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | AR, BR, DK, DE, HU, IN, ID, JP, KE, LT, MY, MX, MA, NG, RO, ZA, ES, TR, UA, US |
| Language shown | unknown |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which candidate would you support? [choice, forced] |
|---|
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.
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")
@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} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint v4.2 |
| Redivis dataset DOI | 10.57761/qkye-q530 |
| Manifest pin for this IRW version | v4.2 |
| Metadata source | irw_meta v44.0 |