30,484 rated or chosen profiles from 1,403 respondents, in up to 11 tasks of 2 profiles varying on 7 attributes.
One of 2 tables from the same source; this one is the panethnic table. The others are listed under Related tables.
| Description | Asian American adults (Lucid, Feb-Mar 2022; n = 1403) chose between pairs of hypothetical congressional candidates in the pan-ethnic design (candidates' race/ethnicity: Asian American, White, Black or Hispanic), 10 tasks plus a repeat of task 1; outcomes are vote choice and a 5-point likelihood of voting for each candidate. |
|---|---|
| Reference | Cho, J. J., Costa, M., & Horiuchi, Y. (2026). Descriptive or partisan representation? Examining trade-offs for Asian Americans. British Journal of Political Science, 56, e8. |
| DOI | 10.1017/S0007123425101324 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/OSSXEC |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,403 |
|---|---|
| Rows (one per respondent, task and profile) | 30,484 |
| Tasks per respondent (most) | 11 |
| 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 |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which candidate are you most likely to vote for? [choice, forced] |
|---|---|
| rating | Looking at just Candidate 1 [Candidate 2], how likely are you to vote for this candidate for Congress? [rating, 1 (Very unlikely) to 5 (Very likely)] |
attr_advances_legislationattr_born_in_usattr_educationattr_partyattr_race_ethnicityattr_sexattr_votes_with_partyattrpos_advances_legislationattrpos_born_in_usattrpos_educationattrpos_partyattrpos_race_ethnicityattrpos_sexattrpos_votes_with_partychoicecov_age_groupcov_attention_passcov_birth_countrycov_coethnic_id1cov_coethnic_id2cov_coethnic_id3cov_coethnic_id4cov_duration_seccov_educationcov_ethnicity_fieldcov_father_us_borncov_final_statuscov_gendercov_heritagecov_hispaniccov_ideologycov_incomecov_mother_us_borncov_panethnic_id1cov_panethnic_id2cov_panethnic_id3cov_panethnic_id4cov_partisan_id1cov_partisan_id2cov_partisan_id3cov_partisan_id4cov_party_fieldcov_party_idcov_party_leancov_party_strength_demcov_party_strength_repcov_racecov_recaptcha_scorecov_us_bornidprofileratingtasktrial_repeat_of
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("cho_2026_asian_panethnic", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("cho_2026_asian_panethnic", source="conj")
@article{Cho_2026, title={Descriptive or Partisan Representation? Examining Trade-Offs for Asian Americans}, volume={56}, ISSN={1469-2112}, url={http://dx.doi.org/10.1017/S0007123425101324}, DOI={10.1017/s0007123425101324}, journal={British Journal of Political Science}, publisher={Cambridge University Press (CUP)}, author={Cho, John J. and Costa, Mia and Horiuchi, Yusaku}, 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 |