23,966 rated or chosen profiles from 2,397 respondents, in up to 5 tasks of 2 profiles varying on 9 attributes.
| Description | 2,397 Black, White and mixed Black-White US adults (Qualtrics Panels, Dec 2020-Feb 2021) compared 5 pairs of hypothetical people varying parents' race (in half the forms), gender, skin tone, class, neighborhood, spouse, incarceration, discrimination and party; they picked the person who is more Black and rated each 0-10 on how Black. |
|---|---|
| Reference | Davenport, L. D., Jefferson, H., & Rendleman, H. E. (2026). The politics of Black classification: Sociopolitical cues and racial perception. Perspectives on Politics. |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/MRXND8 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,397 |
|---|---|
| Rows (one per respondent, task and profile) | 23,966 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 9 |
| Tasks with no profile chosen | 0 |
| Topic | social identity interpersonal |
|---|---|
| A profile represents | person |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which person is more Black? (paraphrase) [choice, forced] |
|---|---|
| rating | How Black is this person? (paraphrase) [rating, 0 (Not at all) to 10 (Very)] |
attr_classattr_discriminationattr_genderattr_incarcerationattr_neighborhoodattr_parentsattr_partyattr_skin_toneattr_spousechoicecov_agecov_educationcov_gendercov_ideologycov_incomecov_mixed_black_whitecov_party_idcov_party_leancov_racecov_stateidprofileratingtasktrial_ancestry_showntrial_skin_tone_row
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("davenport_2026_black_classification", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("davenport_2026_black_classification", source="conj")
@misc{https://doi.org/10.7910/dvn/mrxnd8,
doi = {10.7910/DVN/MRXND8},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/MRXND8},
author = {Rendleman, Hunter and Jefferson, Hakeem and Davenport, Lauren},
keywords = {Social Sciences, Race, Identity politics, Political behavior, Partisanship},
title = {Replication Data for: The Politics of Black Classification: Sociopolitical Cues and Racial Perception},
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 |