43,344 rated or chosen profiles from 3,612 respondents, in up to 6 tasks of 2 profiles varying on 7 attributes.
One of 2 tables from the same source; this one is the us table. The others are listed under Related tables.
| Description | 3,612 US respondents each completed six paired candidate conjoints, one per ethical issue (death penalty, lying, bribery, cheating on a spouse, homosexuality, suicide), with candidates varying in age, gender, party, race, profession, government experience and their stated acceptability of that issue; they chose one candidate and rated both 0-100. |
|---|---|
| Reference | Islam, M. M., & Loewen, P. (2026). Ethical distance and electoral accountability: Voters punish politicians whose ethical views diverge from societal consensus. |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/O2RSXG |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 3,612 |
|---|---|
| Rows (one per respondent, task and profile) | 43,344 |
| Tasks per respondent (most) | 6 |
| Profiles per task | 2 |
| Attributes | 7 |
| Tasks with no profile chosen | 0 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | unknown |
| Profile position | recorded in the deposit |
Outcomes:
| choice | If you had to choose between them, which of these two candidates would you vote for? [choice, forced] |
|---|---|
| rating | unknown [rating, 0 (unknown) to 100 (unknown)] |
attr_ageattr_ethical_positionattr_experienceattr_genderattr_partyattr_professionattr_racechoicecov_accept_briberycov_accept_cheatingcov_accept_death_penaltycov_accept_homosexualitycov_accept_lyingcov_accept_suicidecov_agecov_birth_yearcov_census_regioncov_educ_bachelorscov_gendercov_lr_scalecov_racecov_rstatuscov_survey_weightidprofileratingtasktrial_issue
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("islam_2026_ethical_distance_us", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("islam_2026_ethical_distance_us", source="conj")
@misc{https://doi.org/10.7910/dvn/o2rsxg,
doi = {10.7910/DVN/O2RSXG},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/O2RSXG},
author = {Islam, Md Mujahedul},
keywords = {Social Sciences, Ethical Distance and Candidate Support; Moral Disagreement and Electoral Accountability; Moral Issues; Conjoint Experiments},
title = {Replication Data for: Ethical Distance and Electoral Accountability: Voters Punish Politicians Whose Ethical Views Diverge from Societal Consensus},
publisher = {Harvard Dataverse},
year = {2026}
}
| 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 |