40,360 rated or chosen profiles from 2,018 respondents, in up to 10 tasks of 2 profiles varying on 7 attributes.

About this table

Description	Japanese respondents (n=2,018) chose between 10 pairs of hypothetical House of Councillors candidates described by age, gender, incumbency, education, local ties, prior occupation and political background; forced choice. Attribute text is the authors' English labels (respondents saw Japanese).
Reference	Eshima, S., & Smith, D. M. (2022). Just a number? Voter evaluations of age in candidate-choice experiments. The Journal of Politics, 84(3), 1856-1861.
DOI	10.1086/719005
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/EWDCQX

Notes

Conjoint table (irw_conjoint). choice is a forced choice between two hypothetical upper-house candidates; question wording not deposited. Attribute levels are the authors' English labels for Japanese text; task and profile are inferred from row order of the authors' processed file. trial_treat_group holds four randomized arms whose content is undocumented. Qualtrics response IDs dropped; no weights.

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents	2,018
Rows (one per respondent, task and profile)	40,360
Tasks per respondent (most)	10
Profiles per task	2
Attributes	7
Tasks with no profile chosen	0

Design

Topic	candidate choice
A profile represents	person
Country	JP
Language shown	ja
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:

choice	unknown [choice, forced]

Columns

attr_ageattr_educationattr_genderattr_incumbencyattr_localattr_occupationattr_politicschoicecov_age_groupcov_age_leaderscov_past_turnoutcov_voted_hoc_2016idprofiletasktrial_treat_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 needed Browse on Redivisexplore and query Croissant 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("eshima_2022_age_candidates", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("eshima_2022_age_candidates", source="conj")

How to cite

@article{Eshima_2022, title={Just a Number? Voter Evaluations of Age in Candidate-Choice Experiments}, volume={84}, ISSN={1468-2508}, url={http://dx.doi.org/10.1086/719005}, DOI={10.1086/719005}, number={3}, journal={The Journal of Politics}, publisher={University of Chicago Press}, author={Eshima, Shusei and Smith, Daniel M.}, year={2022}, month=July, pages={1856–1861} }

Version and provenance

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