everitt_2021_candidate_orientation

1,823 rated or chosen profiles from 935 respondents, in up to 2 tasks of 1 profile varying on 3 attributes.

About this table

Description935 Canadian online-panel respondents rated their likelihood of voting for a local nomination candidate twice: first with candidate gender alone, then after a biography added sexual orientation (gay/lesbian vs straight) and marital status (single vs married with children). Rating 1-10; 888 respondents have both ratings.
ReferenceEveritt, J., & Horvath, L. (2021). Public attitudes and private prejudices: Assessing voters' willingness to vote for out lesbian and gay candidates. Frontiers in Political Science, 3, 662095.
DOI10.3389/fpos.2021.662095
LicenceCC BY 4.0
Source datahttps://doi.org/10.6084/m9.figshare.14790915

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

Respondents935
Rows (one per respondent, task and profile)1,823
Tasks per respondent (most)2
Profiles per task1
Attributes3

Design

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

Outcomes:

ratingLikelihood of voting for the candidate after reading the story, ten-point scale (paraphrase) [rating, 1 (unknown) to 10 (unknown)]

Columns

attr_candidate_genderattr_candidate_marital_statusattr_candidate_orientationcov_birth_yearcov_educationcov_gendercov_party_idcov_sexual_orientationidprofileratingtask

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("everitt_2021_candidate_orientation", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("everitt_2021_candidate_orientation", source="conj")

How to cite

@article{Everitt_2021, title={Public Attitudes and Private Prejudices: Assessing Voters’ Willingness to Vote for Out Lesbian and Gay Candidates}, volume={3}, ISSN={2673-3145}, url={http://dx.doi.org/10.3389/fpos.2021.662095}, DOI={10.3389/fpos.2021.662095}, journal={Frontiers in Political Science}, publisher={Frontiers Media SA}, author={Everitt, Joanna and Horvath, Laszlo}, year={2021}, month=June }

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