40,804 rated or chosen profiles from 2,576 respondents, in up to 8 tasks of 2 profiles varying on 9 attributes.
One of 2 tables from the same source; this one is the candidates table. The others are listed under Related tables.
| Description | Japanese adults (online survey; n=2,576) chose which of two hypothetical House of Representatives candidates they would vote for and which would benefit them, their prefecture and Japan, 8 pairs each; candidates varied by university, high school, career, years in job, incumbency, father's job, policy, surname and gender, many defined relative to the respondent's own prefecture. |
|---|---|
| Reference | Gagnon, E., Ikeda, F., & McElwain, K. M. (2025). Preferring national elites or local candidates: A conjoint analysis of voter heuristics. Journal of Politics. |
| DOI | 10.1086/737779 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/E4OOYT |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,576 |
|---|---|
| Rows (one per respondent, task and profile) | 40,804 |
| Tasks per respondent (most) | 8 |
| Profiles per task | 2 |
| Attributes | 9 |
| Tasks with no profile chosen | 0 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | JP |
| Language shown | ja |
| Language of stored levels | ja |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which candidate would you prefer to vote for? Even if there is no candidate you want to choose, please select one candidate you would prefer if you were forced to. (translated) [choice, forced] |
|---|---|
| choice_benefit_japan | Considering separately the benefits to you personally, your prefecture, and Japan as a whole, which candidate do you think would bring more benefits to each? - Japan (translated) [choice, forced] |
| choice_benefit_me | Considering separately the benefits to you personally, your prefecture, and Japan as a whole, which candidate do you think would bring more benefits to each? - For you personally (translated) [choice, forced] |
| choice_benefit_prefecture | Considering separately the benefits to you personally, your prefecture, and Japan as a whole, which candidate do you think would bring more benefits to each? - [your prefecture] (translated) [choice, forced] |
attr_father_jobattr_genderattr_high_schoolattr_incumbencyattr_jobattr_last_nameattr_policy_positionattr_time_on_jobattr_universitychoicechoice_benefit_japanchoice_benefit_mechoice_benefit_prefecturecov_birth_yearcov_city_sizecov_duration_seccov_educationcov_finishedcov_gendercov_ideologycov_party_idcov_prefecture_codeidprofiletask
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("gagnon_2025_local_candidates", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("gagnon_2025_local_candidates", source="conj")
@article{Gagnon_2025, title={Preferring National Elites or Local Candidates: A Conjoint Analysis of Voter Heuristics}, ISSN={1468-2508}, url={http://dx.doi.org/10.1086/737779}, DOI={10.1086/737779}, journal={The Journal of Politics}, publisher={University of Chicago Press}, author={Gagnon, Etienne and Ikeda, Fumi and McElwain, Kenneth Mori}, year={2025}, month=July, pages={000–000} }
| 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 |