11,106 rated or chosen profiles from 1,883 respondents, in up to 3 tasks of 2 profiles varying on 7 attributes.

About this table

Description	US Republican and Independent registered voters (Toluna/Qualtrics daily samples, January 2021; n=1,883, 1,481 good completes) chose between two hypothetical Republican congressional primary candidates varying profession, military service, religion, race/ethnicity, gender, age and whether the candidate says Trump won or lost the 2020 election; 3 pairs each.
Reference	Arceneaux, K., & Truex, R. (2023). Donald Trump and the lie. Perspectives on Politics, 21(3), 863-879.
DOI	10.1017/S1537592722000901
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/4PCVQP

Notes

Conjoint table (irw_conjoint). choice: "Suppose you are voting in a primary election between two Republican candidates who are running for Congress. Which candidate do you prefer?" Candidate 1 / Candidate 2, no opt-out. Shown only to Republican and Independent identifiers (cov_party_id). Randomization restrictions and level weights undocumented; level shares in the table are near uniform. All 1,883 respondents with an answered task kept; the authors use good completes (cov_good_complete = 1, 1,481). No survey weights deposited.

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents	1,883
Rows (one per respondent, task and profile)	11,106
Tasks per respondent (most)	3
Profiles per task	2
Attributes	7
Tasks with no profile chosen	0

Design

Topic	candidate choice
A profile represents	person
Country	US
Language shown	en
Language of stored levels	en
Randomization restrictions	unknown
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	Suppose you are voting in a primary election between two Republican candidates who are running for Congress. Which candidate do you prefer? [choice, forced]

Columns

attr_ageattr_election_opinionattr_genderattr_militaryattr_professionattr_raceattr_religionchoicecov_birth_yearcov_educationcov_election_legitimatecov_gendercov_good_completecov_party_idcov_party_leancov_party_strengthcov_racecov_survey_dayidprofiletask

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 needed Browse on Redivisexplore and query Croissant 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("arceneaux_2023_republican_primary", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("arceneaux_2023_republican_primary", source="conj")

How to cite

@article{Arceneaux_2022, title={Donald Trump and the Lie}, volume={21}, ISSN={1541-0986}, url={http://dx.doi.org/10.1017/S1537592722000901}, DOI={10.1017/s1537592722000901}, number={3}, journal={Perspectives on Politics}, publisher={Cambridge University Press (CUP)}, author={Arceneaux, Kevin and Truex, Rory}, year={2022}, month=Mar, pages={863–879} }

Version and provenance

IRW version	v584
Redivis dataset	irw_conjoint v4.2
Redivis dataset DOI	10.57761/qkye-q530
Manifest pin for this IRW version	v4.2
Metadata source	irw_meta v44.0