36,452 rated or chosen profiles from 36,452 respondents, in up to 1 tasks of 1 profile varying on 2 attributes.
One of 2 tables from the same source; this one is the military_costs table. The others are listed under Related tables.
| Description | Respondents in 25 EU countries (n = 36,452 with an answer of 40,500) read about an EU military intervention in a crisis to which zero or one cost clauses were added (soldiers at risk; national or pooled-budget financing; 2 x 3 factorial) and gave their support (0-1). |
|---|---|
| Reference | Mader, M., Neubert, M., Münchow, F., Hofmann, S. C., Schoen, H., & Gavras, K. (2024). Crumbling in the face of cost? How cost considerations affect public support for European security and defence cooperation. European Union Politics, 25(3), 483-503. |
| DOI | 10.1177/14651165241236777 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/CLI4OL |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 36,452 |
|---|---|
| Rows (one per respondent, task and profile) | 36,452 |
| Tasks per respondent (most) | 1 |
| Profiles per task | 1 |
| Attributes | 2 |
| Topic | foreign policy security |
|---|---|
| A profile represents | policy |
| Country | AT, BE, BG, HR, CZ, DK, EE, FI, FR, DE, GB, GR, HU, IE, IT, LV, LT, NL, PL, PT, RO, SK, SI, ES, SE |
| Language shown | unknown |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| 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 | Support for EU military intervention in a crisis (paraphrase; question wording not in the deposit) [rating, 0 (strongly oppose (0)) to 1 (strongly support (1))] |
|---|
attr_budgetattr_casualtiescov_agecov_countrycov_educationcov_genderidprofileratingtasktrial_question_order
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("mader_2024_eu_military_costs", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("mader_2024_eu_military_costs", source="conj")
@article{Mader_2024, title={Crumbling in the face of cost? How cost considerations affect public support for European security and defence cooperation}, volume={25}, ISSN={1741-2757}, url={http://dx.doi.org/10.1177/14651165241236777}, DOI={10.1177/14651165241236777}, number={3}, journal={European Union Politics}, publisher={SAGE Publications}, author={Mader, Matthias and Neubert, Moritz and Münchow, Felix and Hofmann, Stephanie C and Schoen, Harald and Gavras, Konstantin}, year={2024}, month=Mar, pages={483–503} }
| 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 |