carey_2020_democracy_public_oct

20,000 rated or chosen profiles from 1,000 respondents, in up to 10 tasks of 2 profiles varying on 8 attributes.

One of 3 tables from the same source; this one is the public_oct table. The others are listed under Related tables.

About this table

DescriptionUS adults (YouGov matched sample, October 2018) chose between two hypothetical candidates in 10 pairs varying name (signalling race and gender), party, and six platform statements on voter-ID laws, investigations, compromise, courts, discrimination and taxes. 1,000 respondents; binary choice; YouGov weight included. Appendix replication sample.
ReferenceCarey, J., Clayton, K., Helmke, G., Nyhan, B., Sanders, M., & Stokes, S. (2020). Who will defend democracy? Evaluating tradeoffs in candidate support among partisan donors and voters. Journal of Elections, Public Opinion and Parties.
DOI10.1080/17457289.2020.1790577
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/MRWYC2

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

Respondents1,000
Rows (one per respondent, task and profile)20,000
Tasks per respondent (most)10
Profiles per task2
Attributes8
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 the two candidates would you be more likely to support? (paraphrase) [choice, forced]

Columns

attr_compromiseattr_courtsattr_discriminationattr_electionsattr_investigationsattr_nameattr_partyattr_taxeschoicecov_agecov_educationcov_gendercov_ideologycov_party_idcov_party_id7cov_political_interestcov_statecov_survey_weightcov_take_seriouscov_trump_approvalidprofiletask

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("carey_2020_democracy_public_oct", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("carey_2020_democracy_public_oct", source="conj")

How to cite

@article{Carey_2020, title={Who will defend democracy? Evaluating tradeoffs in candidate support among partisan donors and voters}, volume={32}, ISSN={1745-7297}, url={http://dx.doi.org/10.1080/17457289.2020.1790577}, DOI={10.1080/17457289.2020.1790577}, number={1}, journal={Journal of Elections, Public Opinion and Parties}, publisher={Informa UK Limited}, author={Carey, John and Clayton, Katherine and Helmke, Gretchen and Nyhan, Brendan and Sanders, Mitchell and Stokes, Susan}, year={2020}, month=July, pages={230–245} }

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