becker_2026_housing_text

1,706 rated or chosen profiles from 1,706 respondents, in up to 1 tasks of 1 profile varying on 3 attributes.

About this table

Description1,706 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).
ReferenceBecker, 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.
DOI10.1017/psrm.2026.10131
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/PZVRZT

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents1,706
Rows (one per respondent, task and profile)1,706
Tasks per respondent (most)1
Profiles per task1
Attributes3
Tasks with no profile chosen1,040

Design

Topichousing neighbourhoods
A profile representspolicy
CountryUS
Language shownen
Language of stored levelsen
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceBased 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]

Columns

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.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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")

How to cite

@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} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint_2 v1.4
Redivis dataset DOI10.57761/hk97-wv30
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v44.0