103,470 rated or chosen profiles from 10,347 respondents, in up to 5 tasks of 2 profiles varying on 5 attributes.
| Description | YouGov respondents in Denmark, Germany, Hungary, Italy, Romania and the UK (Feb-Mar 2022; n=10,347) each made 5 forced choices between two hypothetical parliamentary candidates varying in institutional and extra-institutional experience, reason for running, and migration and climate positions, and rated each candidate 1-7. |
|---|---|
| Reference | Mercea, D., & Santos, F. G. (2025). Policy over protest: Experimental evidence on the drivers of support for movement parties. Perspectives on Politics, 23(3), 901-923. |
| DOI | 10.1017/S1537592724001439 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/CBKZL1 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 10,347 |
|---|---|
| Rows (one per respondent, task and profile) | 103,470 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 5 |
| Tasks with no profile chosen | 0 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | DK, DE, HU, IT, RO, GB |
| Language shown | da, de, hu, it, ro, en |
| Language of stored levels | en |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | If you had to choose between them, which candidate do you prefer? [choice, forced] |
|---|---|
| rating | How much do you approve or disapprove of this candidate? (paraphrase) [rating, 1 (Strongly disapprove) to 7 (Strongly approve)] |
attr_environment_positionattr_extrainstitutional_experienceattr_institutional_experienceattr_migration_positionattr_reason_for_runningchoicecov_countrycov_past_votecov_survey_weightidprofileratingtask
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("mercea_2025_movement_parties", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("mercea_2025_movement_parties", source="conj")
@article{Mercea_2024, title={Policy over Protest: Experimental Evidence on the Drivers of Support for Movement Parties}, volume={23}, ISSN={1541-0986}, url={http://dx.doi.org/10.1017/S1537592724001439}, DOI={10.1017/s1537592724001439}, number={3}, journal={Perspectives on Politics}, publisher={Cambridge University Press (CUP)}, author={Mercea, Dan and Santos, Felipe G.}, year={2024}, month=Nov, pages={901–923} }
| 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 |