dai_2024_populist_rhetoric

8,032 rated or chosen profiles from 1,004 respondents, in up to 4 tasks of 2 profiles varying on 7 attributes.

About this table

Description1,004 US MTurk respondents each chose between 4 pairs of hypothetical House primary candidates in their own party's primary, described by job, office experience, polling, and four campaign-message statements (pluralism/people-centrism, moralism/anti-establishment, immigration, economy).
ReferenceDai, Y., & Kustov, A. (2024). The (in)effectiveness of populist rhetoric: A conjoint experiment of campaign messaging. Political Science Research and Methods, 12(4), 849-856.
DOI10.1017/psrm.2023.55
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/QFYZSR

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

Respondents1,004
Rows (one per respondent, task and profile)8,032
Tasks per respondent (most)4
Profiles per task2
Attributes7
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:

choiceIf you had to choose between these two candidates in the upcoming primary, who would you vote for? If neither of the two candidates appeals to you, please still indicate who you would rather vote for. [choice, forced]

Columns

attr_economyattr_immigrationattr_jobattr_moralismattr_officeattr_pluralismattr_pollschoicecov_agecov_attention_passcov_collegecov_gendercov_ideology3cov_party_idcov_whiteidprofiletask

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("dai_2024_populist_rhetoric", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("dai_2024_populist_rhetoric", source="conj")

How to cite

@article{Dai_2023, title={The (in)effectiveness of populist rhetoric: a conjoint experiment of campaign messaging}, volume={12}, ISSN={2049-8489}, url={http://dx.doi.org/10.1017/psrm.2023.55}, DOI={10.1017/psrm.2023.55}, number={4}, journal={Political Science Research and Methods}, publisher={Cambridge University Press (CUP)}, author={Dai, Yaoyao and Kustov, Alexander}, year={2023}, month=Nov, pages={849–856} }

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