lemi_2020_multiracial_candidates

15,708 rated or chosen profiles from 786 respondents, in up to 10 tasks of 2 profiles varying on 6 attributes.

About this table

DescriptionWhite, Black, Asian and Hispanic US respondents (n = 786, Qualtrics panel, 2016) made 10 vote choices between two hypothetical candidates varying in race (including six multiracial combinations), gender, party, ideology, nativity and experience.
ReferenceLemi, D. C. (2021). Do voters prefer just any descriptive representative? The case of multiracial candidates. Perspectives on Politics, 19(4), 1061-1081.
DOI10.1017/S1537592720001280
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/E7CLML

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

Respondents786
Rows (one per respondent, task and profile)15,708
Tasks per respondent (most)10
Profiles per task2
Attributes6
Tasks with no profile chosen0

Design

Topiccandidate choice
A profile representsperson
CountryUS
Language shownen
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceWhich of these two candidates would you vote for? (paraphrase) [choice, forced]

Columns

attr_experienceattr_genderattr_ideologyattr_nativityattr_partyattr_raceattrpos_experienceattrpos_genderattrpos_ideologyattrpos_nativityattrpos_partyattrpos_racechoicecov_agecov_educationcov_english_firstcov_gendercov_ideologycov_incomecov_party_idcov_racecov_state_codeidprofiletask

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("lemi_2020_multiracial_candidates", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("lemi_2020_multiracial_candidates", source="conj")

How to cite

@article{Lemi_2020, title={Do Voters Prefer Just Any Descriptive Representative? The Case of Multiracial Candidates}, volume={19}, ISSN={1541-0986}, url={http://dx.doi.org/10.1017/S1537592720001280}, DOI={10.1017/s1537592720001280}, number={4}, journal={Perspectives on Politics}, publisher={Cambridge University Press (CUP)}, author={Lemi, Danielle Casarez}, year={2020}, month=June, pages={1061–1081} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint v4.2
Redivis dataset DOI10.57761/qkye-q530
Manifest pin for this IRW versionv4.2
Metadata sourceirw_meta v44.0