31,660 rated or chosen profiles from 1,583 respondents, in up to 10 tasks of 2 profiles varying on 13 attributes.

About this table

Description	1,583 US adults (SSI online panel, March 2016) each chose between 10 pairs of hypothetical candidates (5 for President, 5 for the U.S. House) described by 13 attributes including sex, age, race, family, experience, party, issue positions and poll favorability.
Reference	Ono, Y., & Burden, B. C. (2019). The contingent effects of candidate sex on voter choice. Political Behavior, 41(3), 583-607.
DOI	10.1007/s11109-018-9464-6
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/IZKZET

Notes

Conjoint table (irw_conjoint). choice = which candidate the respondent would vote for (Congress wording: 'If you had to choose between them, which of these candidates would you vote to be a member of the U.S. House of Representatives?'; presidential wording not deposited), forced choice, no opt-out. Attributes independently randomized (level probabilities not stated); attribute order randomized per respondent, not recorded. Tasks 1-5 are President and 6-10 Congress for all, though the block order was randomized, so task order is not display order.

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

Design

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

Outcomes:

choice	If you had to choose between them, which of these candidates would you vote to be a member of the U.S. House of Representatives? [choice, forced]

Columns

attr_abortionattr_ageattr_characteristicattr_deficitattr_experienceattr_expertiseattr_familyattr_favorabilityattr_immigrantsattr_national_securityattr_partyattr_raceattr_sexchoicecov_agecov_ba_degreecov_classcov_gendercov_hillarycov_party_idcov_political_interestcov_racecov_regionidprofiletasktrial_office

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("ono_2019_candidate_sex", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("ono_2019_candidate_sex", source="conj")

How to cite

@article{Ono_2018, title={The Contingent Effects of Candidate Sex on Voter Choice}, volume={41}, ISSN={1573-6687}, url={http://dx.doi.org/10.1007/s11109-018-9464-6}, DOI={10.1007/s11109-018-9464-6}, number={3}, journal={Political Behavior}, publisher={Springer Science and Business Media LLC}, author={Ono, Yoshikuni and Burden, Barry C.}, year={2018}, month=May, pages={583–607} }

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

ono_2019_candidate_sex