8,448 rated or chosen profiles from 704 respondents, in up to 6 tasks of 2 profiles varying on 4 attributes.
One of 3 tables from the same source; this one is the us2 table. The others are listed under Related tables.
| Description | 704 US Prolific respondents (sample 2, US Prolific, party (Democrat/Republican) shown) compared 6 pairs of hypothetical politicians described by randomized statements (people-centrism, anti-elitism, filler, party); four forced choices (which politician is more likely to say politicians should listen to the people / the political class is crooked / immigration should be reduced / is conservative) and four 1-5 ratings of each politician. |
|---|---|
| Reference | Neuner, F. G. (2025). Can (thin) populism be manipulated without manipulating host ideology? Evidence from a conjoint validation approach. Journal of Experimental Political Science, 1-15. |
| DOI | 10.1017/XPS.2025.10018 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/JIUPOU |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 704 |
|---|---|
| Rows (one per respondent, task and profile) | 8,448 |
| Tasks per respondent (most) | 6 |
| Profiles per task | 2 |
| Attributes | 4 |
| 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_conservative | Based on the above information, which politician do you think is more likely to: Have conservative ideology [choice, forced] |
|---|---|
| choice_crooked | Based on the above information, which politician do you think is more likely to: Say that many people in the political class are crooked [choice, forced] |
| choice_immigration | Based on the above information, which politician do you think is more likely to: Say that immigration should be reduced [choice, forced] |
| choice_listen | Based on the above information, which politician do you think is more likely to: Say that politicians should always listen to the people [choice, forced] |
| rating_crooked | How likely do you think the two politicians are to say that “many people in the political class are crooked”? [rating, 1 (Not at all likely) to 5 (Extremely likely)] |
| rating_ideology | How liberal or conservative do you think the two politicians are? [rating, 1 (Very liberal) to 5 (Very conservative)] |
| rating_immigration | How likely do you think the two politicians are to say that “immigration should be reduced”? [rating, 1 (Not at all likely) to 5 (Extremely likely)] |
| rating_listen | How likely do you think the two politicians are to say that “politicians should always listen to the people”? [rating, 1 (Not at all likely) to 5 (Extremely likely)] |
attr_anti_elitismattr_fillerattr_partisanshipattr_people_centrismchoice_conservativechoice_crookedchoice_immigrationchoice_listencov_agecov_attention_passcov_birth_yearcov_educationcov_gendercov_incomecov_party_idcov_raceidprofilerating_crookedrating_ideologyrating_immigrationrating_listentask
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("neuner_2025_populism_us2", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("neuner_2025_populism_us2", source="conj")
@article{Neuner_2025, title={Can (Thin) Populism be Manipulated without Manipulating Host Ideology? Evidence from a Conjoint Validation Approach}, ISSN={2052-2649}, url={http://dx.doi.org/10.1017/XPS.2025.10018}, DOI={10.1017/xps.2025.10018}, journal={Journal of Experimental Political Science}, publisher={Cambridge University Press (CUP)}, author={Neuner, Fabian Guy}, year={2025}, month=Sept, pages={1–15} }
| 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 |