moise_2025_eu_defence

20,428 rated or chosen profiles from 10,698 respondents, in up to 2 tasks of 1 profile varying on 3 attributes.

About this table

Description10,698 respondents in seven EU countries (July 2022) each evaluated two vignette scenarios varying Russian escalation, the US security commitment and the EU defence-capacity response (4x2x4), rating each on an 11-point scale (0-10).
ReferenceMoise, A. D., Truchlewski, Z., & Oana, I.-E. (2025). Tilly versus Milward: Experimental evidence of public preferences for European defense amidst the Russian threat. Political Behavior, 47(3), 1015-1066.
DOI10.1007/s11109-024-09979-x
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/dvn/quvpd7

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

Respondents10,698
Rows (one per respondent, task and profile)20,428
Tasks per respondent (most)2
Profiles per task1
Attributes3

Design

Topicforeign policy security
A profile representsscenario
CountryDE, FR, IT, PT, PL, HU, FI
Language shownunknown
Language of stored levelsen
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:

ratingEvaluation of the scenario on an 11-point scale (0-10) (paraphrase; verbatim wording not in the text read) [rating, 0 (unknown) to 10 (unknown)]

Columns

attr_policy_responseattr_russian_actionsattr_us_actioncov_countrycov_eu_identitycov_ideologyidprofileratingtask

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("moise_2025_eu_defence", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("moise_2025_eu_defence", source="conj")

How to cite

@article{Moise_2024, title={Tilly versus Milward: Experimental Evidence of Public Preferences for European Defense Amidst the Russian Threat}, volume={47}, ISSN={1573-6687}, url={http://dx.doi.org/10.1007/s11109-024-09979-x}, DOI={10.1007/s11109-024-09979-x}, number={3}, journal={Political Behavior}, publisher={Springer Science and Business Media LLC}, author={Moise, Alexandru D. and Truchlewski, Zbigniew and Oana, Ioana-Elena}, year={2024}, month=Nov, pages={1015–1066} }

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