ishima_2026_perceived_ideology

19,664 rated or chosen profiles from 1,229 respondents, in up to 8 tasks of 2 profiles varying on 7 attributes.

About this table

DescriptionJapanese 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).
ReferenceIshima, 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.
DOI10.1017/S1468109926100449
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/IXR2EO

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

Respondents1,229
Rows (one per respondent, task and profile)19,664
Tasks per respondent (most)8
Profiles per task2
Attributes7
Tasks with no profile chosen0

Design

Topiccandidate choice
A profile representsperson
CountryJP
Language shownja
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceWhich of the two politicians is more left-wing (left) / liberal (liberal) / progressive (prog)? One wording per respondent, in trial_group (paraphrase) [choice, forced]

Columns

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.

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("ishima_2026_perceived_ideology", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("ishima_2026_perceived_ideology", source="conj")

How to cite

@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} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint_2 v1.4
Redivis dataset DOI10.57761/hk97-wv30
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v44.0