nicoli_2025_defense_union

23,034 rated or chosen profiles from 3,839 respondents, in up to 3 tasks of 2 profiles varying on 6 attributes.

About this table

DescriptionAdults in France, Germany, Italy, the Netherlands and Spain (IPSOS opt-in panels, November 2022; n=3,839) chose between two hypothetical European security pacts (goal, financing, governance, opt-outs, joint purchases, size) and rated each on a 5-point scale; 3 pairs each, military-framing arm.
ReferenceNicoli, F., Burgoon, B., & van der Duin, D. (2025). Citizen support for a European Defense Union: An international conjoint experiment on security cooperation in Europe. International Studies Quarterly, 69(3), sqaf044.
DOI10.1093/isq/sqaf044
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/HTAPIS

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

Respondents3,839
Rows (one per respondent, task and profile)23,034
Tasks per respondent (most)3
Profiles per task2
Attributes6
Tasks with no profile chosen0

Design

Topicforeign policy security
A profile representspolicy
CountryFR, DE, IT, NL, ES
Language shownunknown
Language of stored levelsen
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceWhich of the two packages on the screen do you prefer? (paraphrase) [choice, forced]
ratingHow much are you in favor of or against this package? (paraphrase) [rating, 1 (strongly against) to 5 (strongly in favor)]

Columns

attr_financingattr_governanceattr_joint_purchasesattr_opt_outsattr_programmeattr_sizechoicecov_agecov_attention_passcov_countrycov_education3cov_survey_weightidprofileratingtask

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("nicoli_2025_defense_union", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("nicoli_2025_defense_union", source="conj")

How to cite

@article{Nicoli_2025, title={Citizen Support for a European Defense Union: An International Conjoint Experiment on Security Cooperation in Europe}, volume={69}, ISSN={1468-2478}, url={http://dx.doi.org/10.1093/isq/sqaf044}, DOI={10.1093/isq/sqaf044}, number={3}, journal={International Studies Quarterly}, publisher={Oxford University Press (OUP)}, author={Nicoli, Francesco and Burgoon, Brian and van der Duin, David}, year={2025}, month=June }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint v4.2
Redivis dataset DOI10.57761/qkye-q530
Manifest pin for this IRW versionv4.2
Metadata sourceirw_meta v44.0