graham_2020_undemocratic_candidates

38,826 rated or chosen profiles from 1,680 respondents, in up to 13 tasks of 2 profiles varying on 9 attributes.

About this table

DescriptionUS Lucid respondents (n = 1,680, survey-weighted) chose between two hypothetical candidates in up to 13 scenarios, varying party, age, gender, race, profession, experience, an economic and a social policy position, and a generic, undemocratic or scandal-related record; they also said whether they would vote.
ReferenceGraham, M. H., & Svolik, M. W. (2020). Democracy in America? Partisanship, polarization, and the robustness of support for democracy in the United States. American Political Science Review, 114(2), 392-409.
DOI10.1017/S0003055420000052
LicenceCC BY 4.0
Source datahttps://doi.org/10.7910/DVN/EEARKA

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

Respondents1,680
Rows (one per respondent, task and profile)38,826
Tasks per respondent (most)13
Profiles per task2
Attributes9
Tasks with no profile chosen0

Design

Topiccandidate choice
A profile representsperson
CountryUS
Language shownen
Language of stored levelsen
Randomization restrictionsyes (stated by the source): fixed scenario set per respondent (party pairings DvR 4, RvD 4, DvD 3, RvR 3; both candidates in the same policy areas; 4 generic-generic and 9 generic-undemocratic/valence scenarios, each undemocratic act once); experience = age minus 20-30; race p = .65/.15/.15/.05 (White/Black/Hispanic/Asian), profession p = .15-.20/.10/.05, 20 men and 12 women per respondent; policy positions p = .25 within area
Task orderinferred from row order
Profile positionrecorded in the deposit

Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead. Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

choiceWhich candidate do you prefer? [choice, forced]
rating_turnoutWould you vote in this election? [rating, 0 (No) to 1 (Yes)]

Columns

attr_ageattr_democracyattr_economic_policyattr_genderattr_partyattr_professionattr_raceattr_social_policyattr_years_experiencechoicecov_agecov_auth_behavecov_auth_mannerscov_auth_obeycov_auth_respectcov_educ6cov_gendercov_hhicov_hispaniccov_ideocov_knowl_housecov_knowl_merkelcov_knowl_putincov_knowl_robertscov_knowl_ryancov_knowl_senate_partycov_knowl_senate_termcov_knowl_spendcov_party_id7cov_racecov_rate_E1cov_rate_E2cov_rate_E3cov_rate_E4cov_rate_I1cov_rate_I2cov_rate_I3cov_rate_I4cov_rate_M1cov_rate_M2cov_rate_M3cov_rate_M4cov_rate_T1cov_rate_T2cov_rate_T3cov_rate_T4cov_statecov_survey_weightcov_trumpcov_votedutyidprofilerating_turnouttasktrial_tax_status

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("graham_2020_undemocratic_candidates", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("graham_2020_undemocratic_candidates", source="conj")

How to cite

@article{GRAHAM_2020, title={Democracy in America? Partisanship, Polarization, and the Robustness of Support for Democracy in the United States}, volume={114}, ISSN={1537-5943}, url={http://dx.doi.org/10.1017/S0003055420000052}, DOI={10.1017/s0003055420000052}, number={2}, journal={American Political Science Review}, publisher={Cambridge University Press (CUP)}, author={GRAHAM, MATTHEW H. and SVOLIK, MILAN W.}, year={2020}, month=Apr, pages={392–409} }

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