544 rated or chosen profiles from 272 respondents, in up to 1 tasks of 2 profiles varying on 6 attributes.
One of 4 tables from the same source; this one is the lucid3 table. The others are listed under Related tables.
| Description | Democratic congressional primary candidate conjoint (Lucid study 3): 272 white respondents (Lucid, 2023) each chose between one Black and one White hypothetical candidate differing in race, age, job, political experience, endorsement and self-described ideology. Outcomes: vote choice. |
|---|---|
| Reference | Mikkelborg, A. C. (2025). White Democrats' growing support for Black politicians in the era of the "Great Awokening." American Political Science Review. |
| DOI | 10.1017/S0003055425000097 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/LMBY8P |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 272 |
|---|---|
| Rows (one per respondent, task and profile) | 544 |
| Tasks per respondent (most) | 1 |
| Profiles per task | 2 |
| Attributes | 6 |
| 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 | yes (stated by the source): race: one candidate always Black and the other White; the two candidates never share an endorsement (appendix also: nor the same priority if elected); other attributes equal probability |
| Task order | inferred from row order |
| Profile position | inferred from row order |
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. Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| choice | Which candidate for Congress would you support in this Democratic Primary election? [choice, forced] |
|---|
attr_ageattr_endorsementattr_experienceattr_ideologyattr_jobattr_racechoicecov_age01cov_educationcov_gendercov_hhinccov_party_id7cov_regionidprofiletask
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("mikkelborg_2025_primary_lucid3", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("mikkelborg_2025_primary_lucid3", source="conj")
@article{MIKKELBORG_2025, title={White Democrats’ Growing Support for Black Politicians in the Era of the “Great Awokening”}, volume={119}, ISSN={1537-5943}, url={http://dx.doi.org/10.1017/S0003055425000097}, DOI={10.1017/s0003055425000097}, number={4}, journal={American Political Science Review}, publisher={Cambridge University Press (CUP)}, author={MIKKELBORG, ANNA CAROLINE}, year={2025}, month=Feb, pages={1902–1920} }
| 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 |