20,428 rated or chosen profiles from 10,698 respondents, in up to 2 tasks of 1 profile varying on 3 attributes.
| Description | 10,698 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). |
|---|---|
| Reference | Moise, 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. |
| DOI | 10.1007/s11109-024-09979-x |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/dvn/quvpd7 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 10,698 |
|---|---|
| Rows (one per respondent, task and profile) | 20,428 |
| Tasks per respondent (most) | 2 |
| Profiles per task | 1 |
| Attributes | 3 |
| Topic | foreign policy security |
|---|---|
| A profile represents | scenario |
| Country | DE, FR, IT, PT, PL, HU, FI |
| Language shown | unknown |
| Language of stored levels | en |
| 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:
| rating | Evaluation of the scenario on an 11-point scale (0-10) (paraphrase; verbatim wording not in the text read) [rating, 0 (unknown) to 10 (unknown)] |
|---|
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.
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")
@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} }
| 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 |