14,786 rated or chosen profiles from 1,485 respondents, in up to 5 tasks of 2 profiles varying on 16 attributes.
| Description | US adults (Lucid quota sample, July-August 2019; 1,485 answering of 1,505 assigned) chose which of two fictitious candidates they would rather vote for over 5 pairs, varying two political priorities (12 possible, populist and non-populist) and positions on legal immigration, military intervention, taxing the rich and free trade. |
|---|---|
| Reference | Castanho Silva, B., Neuner, F. G., & Wratil, C. (2023). Populism and candidate support in the US: The effects of "thin" and "host" ideology. Journal of Experimental Political Science, 10(3), 438-447. |
| DOI | 10.1017/XPS.2022.9 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/5AEGPM |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,485 |
|---|---|
| Rows (one per respondent, task and profile) | 14,786 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 16 |
| 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 | yes (stated by the source): each candidate shows exactly two different priorities out of 12 (first and second priority); the 12 priority columns are not independent |
| Task order | recorded in the deposit |
| Profile position | recorded 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.
Outcomes:
| choice | Which of the two candidates would you rather vote for? (paraphrase) [choice, forced] |
|---|
attr_globalizationattr_immigrationattr_militaryattr_priority_citizensattr_priority_corruptionattr_priority_crimeattr_priority_democracyattr_priority_eliteattr_priority_environmentattr_priority_globalizationattr_priority_growthattr_priority_islamizationattr_priority_justiceattr_priority_libertiesattr_priority_partiesattr_redistributionchoicecov_agecov_attention_passcov_blackcov_education_codecov_gendercov_hispaniccov_host1_immigrantscov_host2_tariffscov_host3_interventioncov_host4_richcov_incomecov_party_idcov_thin_pop1cov_thin_pop2cov_thin_pop3cov_thin_pop4cov_thin_pop5cov_thin_pop6cov_thin_pop7cov_thin_pop8cov_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("castanhosilva_2023_populism_us", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("castanhosilva_2023_populism_us", source="conj")
@article{Castanho_Silva_2022, title={Populism and Candidate Support in the US: The Effects of “Thin” and “Host” Ideology}, volume={10}, ISSN={2052-2649}, url={http://dx.doi.org/10.1017/XPS.2022.9}, DOI={10.1017/xps.2022.9}, number={3}, journal={Journal of Experimental Political Science}, publisher={Cambridge University Press (CUP)}, author={Castanho Silva, Bruno and Neuner, Fabian Guy and Wratil, Christopher}, year={2022}, month=June, pages={438–447} }
| 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 |