reher_2025_disabled_candidates

23,582 rated or chosen profiles from 5,969 respondents, in up to 2 tasks of 2 profiles varying on 9 attributes.

About this table

DescriptionChoice-based candidate conjoint (two vignette pairs per respondent, one with and one without party labels) on candidate disability, fielded to online quota samples in the US and UK (5,969 respondents). Outcomes: vote choice, perceived left-right position (0-10) and agreement that the candidate represents under-represented groups (0-4).
ReferenceReher, S. (2025). Voting for disabled candidates. The Journal of Politics, 87(2), 790-794.
DOI10.1086/732994
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/8TEZ2R

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

Respondents5,969
Rows (one per respondent, task and profile)23,582
Tasks per respondent (most)2
Profiles per task2
Attributes9
Tasks with no profile chosen0

Design

Topiccandidate choice
A profile representsperson
CountryUS, GB
Language shownen
Language of stored levelsen
Randomization restrictionsobserved in the data (not documented by the source): in the party task the two candidates always had opposite parties (one left, one right; 5,931 of 5,931 two-profile party tasks); weights (SI Table S1): disability none 0.4 vs 0.2 per disability type; names 0.35/0.35 majority female/male vs 0.15/0.15 minority female/male (minority 0.3 vs 0.7)
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead.

Outcomes:

choiceWhich candidate would you be more likely to vote for? [choice, forced]
rating_ideologyIn politics people often talk of left and right. Where would you place the candidates on the following scale from left to right? [rating, 0 (Left) to 10 (Right)]
rating_representCandidate A/B represents people who are under-represented in politics. [rating, 0 (strongly disagree) to 4 (strongly agree)]

Columns

attr_ageattr_childrenattr_disabilityattr_experienceattr_genderattr_jobattr_name_minorityattr_officeattr_partychoicecov_age_groupcov_countrycov_disabledcov_educationcov_employmentcov_gendercov_lr_groupcov_lr_selfidprofilerating_ideologyrating_representtasktrial_party_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("reher_2025_disabled_candidates", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("reher_2025_disabled_candidates", source="conj")

How to cite

@article{Reher_2025, title={Voting for Disabled Candidates}, volume={87}, ISSN={1468-2508}, url={http://dx.doi.org/10.1086/732994}, DOI={10.1086/732994}, number={2}, journal={The Journal of Politics}, publisher={University of Chicago Press}, author={Reher, Stefanie}, year={2025}, month=Apr, pages={790–794} }

Version and provenance

IRW versionv607
Redivis datasetirw_conjoint v4.2
Redivis dataset DOI10.57761/qkye-q530
Manifest pin for this IRW versionv4.2
Metadata sourceirw_meta v47.0