78,995 rated or chosen profiles from 19,775 respondents, in up to 4 tasks of 1 profile varying on 3 attributes.
| Description | Respondents in 14 EU countries (Dynata, 2021, n = 19,775) rated four vignettes in which a new party (populist or anti-government attack, one of eight policy demands) challenges their first-ranked party, which responds in one of six unified/divided ways; outcome is a 1-7 liking rating of the response. |
|---|---|
| Reference | Duell, D., & Kaftan, L. (2025). Voices of the party base: How supporters want established parties to respond to new parties. European Political Science Review. |
| DOI | 10.1017/S1475676525100625 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/SNEYXG |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 19,775 |
|---|---|
| Rows (one per respondent, task and profile) | 78,995 |
| Tasks per respondent (most) | 4 |
| Profiles per task | 1 |
| Attributes | 3 |
| Topic | parties platforms |
|---|---|
| A profile represents | scenario |
| Country | AT, DE, DK, ES, FR, GR, HU, IE, IT, NL, PL, PT, RO, SE |
| Language shown | unknown |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| rating | How much do you like the reaction? (paraphrase) [rating, 1 (Do not like at all) to 7 (Like a lot)] |
|---|
attr_attackattr_party_responseattr_policy_demandcov_agecov_countrycov_edu_codecov_gendercov_lrcov_party_familycov_party_first_rankedcov_policy_climatecov_policy_freedomcov_policy_immigrationcov_policy_techcov_regioncov_size_locality_codecov_turnoutcov_work_statusidprofileratingtask
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("duell_2025_party_responses", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("duell_2025_party_responses", source="conj")
@article{Duell_2026, title={Voices of the party base: How supporters want established parties to respond to new parties}, volume={65}, ISSN={1475-6765}, url={http://dx.doi.org/10.1017/S1475676525100625}, DOI={10.1017/s1475676525100625}, number={3}, journal={European Journal of Political Research}, publisher={Cambridge University Press (CUP)}, author={Duell, Dominik and Kaftan, Lea and Proksch, Sven-Oliver and Slapin, Jonathan B. and Wratil, Christopher}, year={2026}, month=Jan, pages={868–888} }
| 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 |