8,032 rated or chosen profiles from 1,004 respondents, in up to 4 tasks of 2 profiles varying on 7 attributes.
| Description | 1,004 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). |
|---|---|
| Reference | Dai, 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. |
| DOI | 10.1017/psrm.2023.55 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/QFYZSR |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,004 |
|---|---|
| Rows (one per respondent, task and profile) | 8,032 |
| Tasks per respondent (most) | 4 |
| Profiles per task | 2 |
| Attributes | 7 |
| Tasks with no profile chosen | 0 |
| 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 | If 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] |
|---|
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.
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")
@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} }
| 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 |