13,080 rated or chosen profiles from 1,308 respondents, in up to 5 tasks of 2 profiles varying on 7 attributes.

About this table

Description	Candidate choice conjoint in the 2022 Cooperative Election Study (University of Georgia module): 1,308 US respondents chose between two candidates in five hypothetical nonpartisan local elections, with candidates varying in name (signalling race and gender), age, career, political experience, endorsements, family and community ties.
Reference	Ornstein, J. T., Heideman, A. J., Moy, B. J., & Schiff, K. J. (2024). Hometown advantage: Voter preferences for community embeddedness in local contests. Journal of Experimental Political Science, 12(3), 267-281.
DOI	10.1017/XPS.2024.16
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/PPMGWL

Notes

Conjoint table (irw_conjoint). choice: which of two candidates the respondent chose in a hypothetical nonpartisan local election (wording not deposited); forced, no opt-out. Task order inferred from row order (five stacked blocks of the same respondents); profile recorded. The article says levels were uniform with no restrictions, but White-coded names appear about three times as often as each Black- or Latino-coded name. CES covariates kept as codes, except cov_gender and cov_party_id (text); cov_survey_weight blank for 308 respondents.

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

Size and shape

Respondents	1,308
Rows (one per respondent, task and profile)	13,080
Tasks per respondent (most)	5
Profiles per task	2
Attributes	7
Tasks with no profile chosen	0

Design

Topic	candidate choice
A profile represents	person
Country	US
Language shown	en
Language of stored levels	en
Task order	inferred from row order
Profile position	recorded in the deposit

Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

choice	Which candidate would you prefer to vote for? [choice, forced]

Columns

attr_ageattr_careerattr_community_tiesattr_endorsementattr_familyattr_nameattr_politicalchoicecov_gendercov_ownhomecov_party_idcov_racecov_residencycov_survey_weightcov_urbancityidprofiletask

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 needed Browse on Redivisexplore and query Croissant 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("ornstein_2024_hometown_advantage", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("ornstein_2024_hometown_advantage", source="conj")

How to cite

@article{Ornstein_2024, title={Hometown Advantage: Voter Preferences for Community Embeddedness in Local Contests}, volume={12}, ISSN={2052-2649}, url={http://dx.doi.org/10.1017/XPS.2024.16}, DOI={10.1017/xps.2024.16}, number={3}, journal={Journal of Experimental Political Science}, publisher={Cambridge University Press (CUP)}, author={Ornstein, Joseph T. and Heideman, Amanda J. and Moy, Bryant J. and Schiff, Kaylyn Jackson}, year={2024}, month=Dec, pages={267–281} }

Version and provenance

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