borbath_2025_new_party_brand

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.

About this table

DescriptionAdults 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.
ReferenceBorbáth, E., & Hutter, S. (2025). Brand transformation in European politics: The rise and limits of nonclassical names. Perspectives on Politics.
DOI10.1017/S1537592725103319
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/WGATQF

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents6,399
Rows (one per respondent, task and profile)38,394
Tasks per respondent (most)3
Profiles per task2
Attributes3
Tasks with no profile chosen0

Design

Topicparties platforms
A profile representsorganisation
CountryAT, HU, IT
Language shownunknown
Language of stored levelsen
Randomization restrictionsunknown
Task orderinferred from row order
Profile positioninferred from row order

Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

choiceWhich of the two organizations/scenarios would you be more likely to vote for? (article wording; not in the deposit) [choice, forced]
ratingHow much do you support the described group/scenario A/B? (article wording; not in the deposit) [rating, 1 (unknown) to 11 (unknown)]

Columns

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.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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")

How to cite

@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} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint_2 v1.4
Redivis dataset DOI10.57761/hk97-wv30
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v44.0