22,520 rated or chosen profiles from 1,126 respondents, in up to 20 tasks of 1 profile varying on 8 attributes.

About this table

Description	Japanese voters (Rakuten Insight online panel, 2020) rated the favourability of 20 single hypothetical Diet candidates each (10 for a House of Representatives and 10 for a House of Councillors election), with candidates varying legacy (dynastic) status, gender, age, education, occupation, hometown, experience and party. 1,126 respondents; 1-8 rating.
Reference	Miwa, H., Kasuya, Y., & Ono, Y. (2023). Voters' perceptions and evaluations of dynastic politics in Japan. Asian Journal of Comparative Politics, 8(3), 671-688.
DOI	10.1177/20578911221144101
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/Z2P876

Notes

Conjoint table (irw_conjoint). rating: favourability of a single candidate profile, 1 (not favorable at all) to 8 (very favorable), as in the source. Each respondent rated 10 House of Representatives and 10 House of Councillors candidates (trial_hoc); task numbers follow the deposit's row order, which is not the display order (election-block order was randomized but the deposit is sorted HoR first). Nonuniform level weights matched to real-world distributions. Typo 'Buniness employee' corrected. 1,126 respondents, matching the paper.

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

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	recorded in the deposit

Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

rating	Rate the candidate's favorability on an eight-point scale from 'not favorable at all' to 'very favorable'. (paraphrase) [rating, 1 (Not favorable at all) to 8 (Very favorable)]

Columns

attr_ageattr_educationattr_experienceattr_genderattr_hometownattr_legacyattr_occupationattr_partycov_agecov_educationcov_gendercov_knowledgecov_party_ididprofileratingtasktrial_hoc

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("miwa_2023_dynastic_candidates", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("miwa_2023_dynastic_candidates", source="conj")

How to cite

@article{Miwa_2022, title={Voters’ perceptions and evaluations of dynastic politics in Japan}, volume={8}, ISSN={2057-892X}, url={http://dx.doi.org/10.1177/20578911221144101}, DOI={10.1177/20578911221144101}, number={3}, journal={Asian Journal of Comparative Politics}, publisher={SAGE Publications}, author={Miwa, Hirofumi and Kasuya, Yuko and Ono, Yoshikuni}, year={2022}, month=Dec, pages={671–688} }

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

Respondents	1,126
Rows (one per respondent, task and profile)	22,520
Tasks per respondent (most)	20
Profiles per task	1
Attributes	8

miwa_2023_dynastic_candidates