1,706 rated or chosen profiles from 1,706 respondents, in up to 1 tasks of 1 profile varying on 3 attributes.
| Description | 1,706 White US adults (Cint, October 2024) saw a text profile for a hypothetical housing development in their neighborhood with housing type (single-family/apartments), racial makeup of the expected residents (Black/White) and monthly cost ($1,500/$3,000/$4,500) randomized, and said whether they would vote to support building it (yes/no). |
|---|---|
| Reference | Becker, C. (2026). "We need the right kind of people in this neighborhood": Racial motivation in opposition to new housing construction. Political Science Research and Methods, 1-21. |
| DOI | 10.1017/psrm.2026.10131 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/PZVRZT |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,706 |
|---|---|
| Rows (one per respondent, task and profile) | 1,706 |
| Tasks per respondent (most) | 1 |
| Profiles per task | 1 |
| Attributes | 3 |
| Tasks with no profile chosen | 1,040 |
| Topic | housing neighbourhoods |
|---|---|
| A profile represents | policy |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Based just on the above information about this development, if it were put to a public vote, would you support it being built in your neighborhood? [choice, opt-out allowed] |
|---|
attr_housing_typeattr_monthly_costattr_racial_makeupchoicecov_birth_yearcov_crisis_viewcov_duration_seccov_educationcov_gendercov_housing_crisiscov_ideologycov_impact_affordabilitycov_impact_charactercov_impact_crimecov_impact_property_valuescov_impact_schoolscov_impact_trafficcov_importance_affordabilitycov_importance_charactercov_importance_crimecov_importance_property_valuescov_importance_schoolscov_importance_trafficcov_incomecov_infill_supportcov_neighborhood_typecov_party_idcov_pid_leancov_pid_strength_demcov_pid_strength_repcov_recaptcha_scorecov_rentercov_statecov_vote_2020cov_vote_2020_hypcov_voted_2020cov_years_in_neighborhoodidprofiletask
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("becker_2026_housing_text", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("becker_2026_housing_text", source="conj")
@article{Becker_2026, title={“We need the right kind of people in this neighborhood”: racial motivation in opposition to new housing construction}, ISSN={2049-8489}, url={http://dx.doi.org/10.1017/psrm.2026.10131}, DOI={10.1017/psrm.2026.10131}, journal={Political Science Research and Methods}, publisher={Cambridge University Press (CUP)}, author={Becker, Clayton}, year={2026}, month=Oct, pages={1–21} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint_2 v1.4 |
| Redivis dataset DOI | 10.57761/hk97-wv30 |
| Manifest pin for this IRW version | v1.4 |
| Metadata source | irw_meta v44.0 |