19,664 rated or chosen profiles from 1,229 respondents, in up to 8 tasks of 2 profiles varying on 7 attributes.
| Description | Japanese adults (n = 1,229) compared two hypothetical politicians in each of 8 tasks (coalition with the JCP, tone, issue, age, career, gender, home prefecture) and chose which was more left-wing, liberal or progressive, the wording assigned between respondents (n = 406/414/409). |
|---|---|
| Reference | Ishima, H., Ashitani, K., & Okada, A. (2026). Confrontation, cooperation, and perceived ideology: Experimental research on voters' perceived positions and political competition. Japanese Journal of Political Science. |
| DOI | 10.1017/S1468109926100449 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/IXR2EO |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,229 |
|---|---|
| Rows (one per respondent, task and profile) | 19,664 |
| Tasks per respondent (most) | 8 |
| Profiles per task | 2 |
| Attributes | 7 |
| Tasks with no profile chosen | 0 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | JP |
| Language shown | ja |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which of the two politicians is more left-wing (left) / liberal (liberal) / progressive (prog)? One wording per respondent, in trial_group (paraphrase) [choice, forced] |
|---|
attr_ageattr_careerattr_coalitionattr_genderattr_homeattr_issueattr_tonechoicecov_age_groupcov_educationcov_genderidprofiletasktrial_group
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("ishima_2026_perceived_ideology", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("ishima_2026_perceived_ideology", source="conj")
@article{Ishima_2026, title={Confrontation, cooperation, and perceived ideology: experimental research on voters’ perceived positions and political competition}, ISSN={1474-0060}, url={http://dx.doi.org/10.1017/S1468109926100449}, DOI={10.1017/s1468109926100449}, journal={Japanese Journal of Political Science}, publisher={Cambridge University Press (CUP)}, author={Ishima, Hideo and Ashitani, Keisuke and Okada, Ashu}, year={2026}, month=Sept, pages={1–15} }
| 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 |