16,544 rated or chosen profiles from 1,034 respondents, in up to 8 tasks of 2 profiles varying on 5 attributes.
| Description | Danish adults (Epinion omnibus, n = 1,034, Oct-Nov 2024) chose between two fictitious candidates for their own party in 8 tasks, varying gender, age, country of origin, education and political experience; half first read the intelligence service's assessment that the terrorist threat is significant (trial_terror_threat). |
|---|---|
| Reference | Littmann, B., Nielsen, N. N. J., & Laustsen, L. (2026). Terrorist threat decreases citizens' relative preferences for women candidates: Insights from a Danish conjoint experiment. European Journal of Political Research. |
| DOI | 10.1017/S1475676526101649 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/F7WN3A |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,034 |
|---|---|
| Rows (one per respondent, task and profile) | 16,544 |
| Tasks per respondent (most) | 8 |
| Profiles per task | 2 |
| Attributes | 5 |
| Tasks with no profile chosen | 0 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | DK |
| Language shown | da |
| Language of stored levels | da |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which of the two candidates would you prefer as the leading candidate for your party in the upcoming parliamentary election? (translated) [choice, forced] |
|---|
attr_ageattr_educationattr_genderattr_originattr_political_experiencechoicecov_agecov_age_groupcov_educationcov_gendercov_regioncov_vote_intentioncov_vote_lastidprofiletasktrial_terror_threat
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("littmann_2026_terror_women_candidates", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("littmann_2026_terror_women_candidates", source="conj")
@article{Littmann_2026, title={Terrorist threat decreases citizens’ relative preferences for women candidates: Insights from a Danish conjoint experiment}, ISSN={1475-6765}, url={http://dx.doi.org/10.1017/S1475676526101649}, DOI={10.1017/s1475676526101649}, journal={European Journal of Political Research}, publisher={Cambridge University Press (CUP)}, author={Littmann, Brian and Nielsen, Nadia Natasha James and Laustsen, Lasse}, year={2026}, month=Sept, pages={1–14} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint v4.2 |
| Redivis dataset DOI | 10.57761/qkye-q530 |
| Manifest pin for this IRW version | v4.2 |
| Metadata source | irw_meta v44.0 |