maier_2026_supranational_de

12,324 rated or chosen profiles from 1,027 respondents, in up to 6 tasks of 2 profiles varying on 4 attributes.

One of 2 tables from the same source; this one is the de table. The others are listed under Related tables.

About this table

DescriptionGermany respondents rated and chose between two hypothetical supranational governance arrangements (world parliament or European Parliament, other actors involved, role of nation states, financing). 1,027 respondents, 6 paired tasks, forced choice plus a 1-7 rating of each profile.
ReferenceMaier, F. (2026). Supranational governance preferences [Data set]. figshare.
LicenceCC BY 4.0
Source datahttps://doi.org/10.6084/m9.figshare.32252061

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

Respondents1,027
Rows (one per respondent, task and profile)12,324
Tasks per respondent (most)6
Profiles per task2
Attributes4
Tasks with no profile chosen0

Design

Topicdemocracy institutions
A profile representspolicy
CountryDE
Language shownde
Language of stored levelsde
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceunknown [choice, forced]
ratingunknown [rating, 1 (unknown) to 7 (unknown)]

Columns

attr_financingattr_legislatureattr_nation_state_roleattr_other_actorschoicecov_birth_yearcov_education_codecov_gender_codecov_income_codeidprofileratingtask

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("maier_2026_supranational_de", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("maier_2026_supranational_de", source="conj")

How to cite

@misc{https://doi.org/10.6084/m9.figshare.32252061,
  doi = {10.6084/M9.FIGSHARE.32252061},
  url = {https://figshare.com/articles/dataset/Supranational_governance_preferences/32252061},
  author = {Maier, Franziska},
  keywords = {Political science not elsewhere classified},
  title = {Supranational governance preferences},
  publisher = {figshare},
  year = {2026},
  copyright = {Creative Commons Attribution 4.0 International}
}

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