24,233 rated or chosen profiles from 2,653 respondents, in up to 10 tasks of 1 profile varying on 10 attributes.
| Description | 2,653 US respondents (Dynata panel and undergraduates, 2022) each rated 9-10 single profiles (blurred face photo with varied skin tone, self-identified race, parents' race, parents' occupations, religion, English at home, age) on six 1-5 agree statements that the person is White, Black, Latino, Asian, MENA or a person of color. |
|---|---|
| Reference | Abascal, M., Armenta, A., Halm, W. M., & Hopkins, D. J. (2025). Who polices which boundaries? How racial self-identification affects external classification. American Journal of Sociology, 131(3), 630-683. |
| DOI | 10.1086/737164 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/PWDZPQ |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,653 |
|---|---|
| Rows (one per respondent, task and profile) | 24,233 |
| Tasks per respondent (most) | 10 |
| Profiles per task | 1 |
| Attributes | 10 |
| Topic | social identity interpersonal |
|---|---|
| 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:
| rating_asian | Please indicate whether you agree or disagree with each statement: This person is Asian/Asian American [rating, 1 (strongly disagree) to 5 (strongly agree)] |
|---|---|
| rating_black | Please indicate whether you agree or disagree with each statement: This person is Black/African American [rating, 1 (strongly disagree) to 5 (strongly agree)] |
| rating_latino | Please indicate whether you agree or disagree with each statement: This person is Latino/Latino(a/x) [rating, 1 (strongly disagree) to 5 (strongly agree)] |
| rating_mena | Please indicate whether you agree or disagree with each statement: This person is Middle Eastern or North African [rating, 1 (strongly disagree) to 5 (strongly agree)] |
| rating_poc | Please indicate whether you agree or disagree with each statement: This person is a person of color [rating, 1 (strongly disagree) to 5 (strongly agree)] |
| rating_white | Please indicate whether you agree or disagree with each statement: This person is White [rating, 1 (strongly disagree) to 5 (strongly agree)] |
attr_ageattr_english_at_homeattr_parentsattr_parents_occupationattr_photoattr_photo_ethnicityattr_photo_genderattr_religionattr_self_identificationattr_skin_tonecov_birth_yearcov_educationcov_gendercov_incomecov_nativitycov_party_idcov_racecov_sampleidprofilerating_asianrating_blackrating_latinorating_menarating_pocrating_whitetasktrial_condition
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("abascal_2025_racial_classification", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("abascal_2025_racial_classification", source="conj")
@article{Abascal_2025, title={Who Polices Which Boundaries? How Racial Self-Identification Affects External Classification}, volume={131}, ISSN={1537-5390}, url={http://dx.doi.org/10.1086/737164}, DOI={10.1086/737164}, number={3}, journal={American Journal of Sociology}, publisher={University of Chicago Press}, author={Abascal, Maria and Armenta, Amada and Halm, W. M. and Hopkins, Daniel J.}, year={2025}, month=Nov, pages={630–683} }
| 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 |