21,488 rated or chosen profiles from 2,686 respondents, in up to 4 tasks of 2 profiles varying on 7 attributes.

About this table

Description	2,686 adults in Osaka Prefecture, Japan (Rakuten Research online panel, November 2015) each chose between 4 pairs of hypothetical same-party House of Representatives candidates described by 7 attributes: sex, education, personality trait, issue specialization and positions on social, economic and military issues. Outcome: vote choice.
Reference	Ono, Y., & Yamada, M. (2020). Do voters prefer gender stereotypic candidates? Evidence from a conjoint survey experiment in Japan. Political Science Research and Methods, 8(3), 477-492.
DOI	10.1017/psrm.2018.41
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/DOZCK5

Notes

Conjoint table (irw_conjoint). choice = which of two same-party candidates the respondent would vote for ('Which of the two candidates would you like to vote for? Even if you are not entirely sure, please indicate which of the two you would prefer if you had to choose either one of them.', translated from Japanese), forced choice, no opt-out. All 1,152 profiles possible (no restrictions); attribute order randomized per respondent, not recorded; attribute text is the authors' English translation. N = 2,686 as in the paper.

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	2,686
Rows (one per respondent, task and profile)	21,488
Tasks per respondent (most)	4
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
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	Let's suppose the following two potential candidates in the same party are considering to run in the national election. Which of the two candidates would you like to vote for? Even if you are not entirely sure, please indicate which of the two you would prefer if you had to choose either one of them. (translated) [choice, forced]

Columns

attr_educationattr_ideology_economicattr_ideology_militaryattr_ideology_socialattr_issue_specializationattr_personalityattr_sexchoicecov_age_groupcov_bacov_gendercov_income_levelcov_party_ididprofiletasktrial_response_time

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("ono_2020_gender_stereotypes", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("ono_2020_gender_stereotypes", source="conj")

How to cite

@article{Ono_2018, title={Do voters prefer gender stereotypic candidates? evidence from a conjoint survey experiment in Japan}, volume={8}, ISSN={2049-8489}, url={http://dx.doi.org/10.1017/psrm.2018.41}, DOI={10.1017/psrm.2018.41}, number={3}, journal={Political Science Research and Methods}, publisher={Cambridge University Press (CUP)}, author={Ono, Yoshikuni and Yamada, Masahiro}, year={2018}, month=Oct, pages={477–492} }

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