madrid_2022_religious_candidates

10,160 rated or chosen profiles from 508 respondents, in up to 10 tasks of 2 profiles varying on 6 attributes.

About this table

DescriptionUS MTurk respondents (n = 508) chose between two hypothetical candidates for Congress in each of 10 tasks; candidates varied in party, ideology, occupation, race, religion and sex.
ReferenceMadrid, R., Merolla, J. L., Yanez Ruiz, A., & Schroedel, J. R. (2022). The relevance of religion for political office: Voter bias toward candidates from different religious backgrounds. Political Behavior, 44, 981-1001.
DOI10.1007/s11109-022-09782-6
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/XV8GCK

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

Respondents508
Rows (one per respondent, task and profile)10,160
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 prefer to see as your congressional representative? (paraphrase; export text truncated: 'Which of these two candidates would you prefer to see as your congressional...') [choice, forced]

Columns

attr_ideologyattr_occupationattr_partyattr_raceattr_religionattr_sexattrpos_ideologyattrpos_occupationattrpos_partyattrpos_raceattrpos_religionattrpos_sexchoicecov_agecov_gender_codecov_party_id_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("madrid_2022_religious_candidates", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("madrid_2022_religious_candidates", source="conj")

How to cite

@article{Madrid_2022, title={The Relevance of Religion for Political Office: Voter Bias Toward Candidates from Different Religious Backgrounds}, volume={44}, ISSN={1573-6687}, url={http://dx.doi.org/10.1007/s11109-022-09782-6}, DOI={10.1007/s11109-022-09782-6}, number={2}, journal={Political Behavior}, publisher={Springer Science and Business Media LLC}, author={Madrid, Raul and Merolla, Jennifer L. and Yanez Ruiz, Aldo and Schroedel, Jean Reith}, year={2022}, month=Mar, pages={981–1001} }

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