armaly_2024_scotus_nominees

4,892 rated or chosen profiles from 1,223 respondents, in up to 4 tasks of 1 profile varying on 8 attributes.

About this table

Description1,223 Black and white US adults (Lucid, March 2022, Black oversample) each rated four single hypothetical Supreme Court nominee profiles varying sex, age, race, religion, ideology, judicial philosophy, law school and appointing party; outcomes are 6-point nominee support, trust and qualification and 5-point Court approval, legalism and agreement ratings.
ReferenceArmaly, M. T., Krewson, C. N., & Lane, E. A. (2024). The influence of descriptive representation on support for judicial nominees and the US Supreme Court. Political Behavior, 47(2), 661-687.
DOI10.1007/s11109-024-09966-2
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/H8RIBF

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

Respondents1,223
Rows (one per respondent, task and profile)4,892
Tasks per respondent (most)4
Profiles per task1
Attributes8

Design

Topiccandidate choice
A profile representsperson
CountryUS
Language shownen
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positioninferred from row order

Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

ratingSupport for the nominee (paraphrase) [rating, 1 (weak) to 6 (strong)]
rating_court_agreeIf the nominee became a member, I would perceive the Court as more likely to make decisions I agree with (paraphrase) [rating, 1 (strongly disagree) to 5 (strongly agree)]
rating_court_approvalLevel of approval for the Supreme Court if the hypothetical nominee became a member (paraphrase) [rating, 1 (strongly disapprove) to 5 (strongly approve)]
rating_court_legalIf the nominee became a member, I would perceive the Court as more of a legal institution (paraphrase) [rating, 1 (strongly disagree) to 5 (strongly agree)]
rating_qualityThe nominee's qualifications to be a US Supreme Court justice (paraphrase) [rating, 1 (weak) to 6 (strong)]
rating_trustTrust in the nominee to reach impartial decisions (paraphrase) [rating, 1 (weak) to 6 (strong)]

Columns

attr_ageattr_appointing_partyattr_ideologyattr_legal_educationattr_philosophyattr_raceattr_religionattr_sexattrpos_ageattrpos_appointing_partyattrpos_ideologyattrpos_legal_educationattrpos_philosophyattrpos_raceattrpos_religionattrpos_sexcov_gendercov_party_idcov_raceidprofileratingrating_court_agreerating_court_approvalrating_court_legalrating_qualityrating_trusttask

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("armaly_2024_scotus_nominees", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("armaly_2024_scotus_nominees", source="conj")

How to cite

@article{Armaly_2024, title={The Influence of Descriptive Representation on Support for Judicial Nominees and the US Supreme Court}, volume={47}, ISSN={1573-6687}, url={http://dx.doi.org/10.1007/s11109-024-09966-2}, DOI={10.1007/s11109-024-09966-2}, number={2}, journal={Political Behavior}, publisher={Springer Science and Business Media LLC}, author={Armaly, Miles T. and Krewson, Christopher N. and Lane, Elizabeth A.}, year={2024}, month=Aug, pages={661–687} }

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