38,394 rated or chosen profiles from 6,399 respondents, in up to 3 tasks of 2 profiles varying on 3 attributes.
One of 2 tables from the same source; this one is the new_party_brand table. The others are listed under Related tables.
| Description | Adults in Austria, Italy and Hungary (n = 6,399) compared, in three tasks of two profiles, hypothetical new political groups described by name (New / Party for a new / Movement for a new [country]), organization and form of action, rating support (1-11) and choosing the one they would be more likely to vote for. |
|---|---|
| Reference | Borbáth, E., & Hutter, S. (2025). Brand transformation in European politics: The rise and limits of nonclassical names. Perspectives on Politics. |
| DOI | 10.1017/S1537592725103319 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/WGATQF |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 6,399 |
|---|---|
| Rows (one per respondent, task and profile) | 38,394 |
| Tasks per respondent (most) | 3 |
| Profiles per task | 2 |
| Attributes | 3 |
| Tasks with no profile chosen | 0 |
| Topic | parties platforms |
|---|---|
| A profile represents | organisation |
| Country | AT, HU, IT |
| Language shown | unknown |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | inferred from row order |
| Profile position | inferred from row order |
Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| choice | Which of the two organizations/scenarios would you be more likely to vote for? (article wording; not in the deposit) [choice, forced] |
|---|---|
| rating | How much do you support the described group/scenario A/B? (article wording; not in the deposit) [rating, 1 (unknown) to 11 (unknown)] |
attr_action_formattr_nameattr_organizationchoicecov_countrycov_left_rightcov_party_ididprofileratingtask
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("borbath_2025_new_party_brand", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("borbath_2025_new_party_brand", source="conj")
@article{Borb_th_2025, title={Brand Transformation in European Politics: The Rise and Limits of Nonclassical Names}, ISSN={1541-0986}, url={http://dx.doi.org/10.1017/S1537592725103319}, DOI={10.1017/s1537592725103319}, journal={Perspectives on Politics}, publisher={Cambridge University Press (CUP)}, author={Borbáth, Endre and Hutter, Swen}, year={2025}, month=Dec, pages={1–19} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint_2 v1.4 |
| Redivis dataset DOI | 10.57761/hk97-wv30 |
| Manifest pin for this IRW version | v1.4 |
| Metadata source | irw_meta v44.0 |