chu_2024_democracy_jp

6,072 rated or chosen profiles from 1,012 respondents, in up to 3 tasks of 2 profiles varying on 9 attributes.

One of 6 tables from the same source; this one is the jp table. The others are listed under Related tables.

About this table

DescriptionRespondents in Japan (n = 1,012) compared 3 pairs of hypothetical countries described by 9 three-level attributes (elections, civil liberties, executive constraints, populism, obedience, economic and gender equality, expert influence, direct democracy); outcomes: which country is more democratic, and a 1-10 democracy rating of each. One of six country tables from the same study.
ReferenceChu, J. A., Williamson, S., & Yeung, E. S. F. (2024). People consistently view elections and civil liberties as key components of democracy. Science, 386(6719), 291-296.
DOI10.1126/science.adp1274
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/WUJCBO

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

Respondents1,012
Rows (one per respondent, task and profile)6,072
Tasks per respondent (most)3
Profiles per task2
Attributes9
Tasks with no profile chosen0

Design

Topicdemocracy institutions
A profile representsplace
CountryJP
Language shownja
Language of stored levelsja
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choice2つの国のうち、どちらがより民主的だと思いますか? [choice, forced]
rating国Aはどの程度民主的だと思いますか? [rating, 1 (まったく民主的でない) to 10 (完全に民主的)]

Columns

attr_civilattr_directattr_econattr_electionattr_expertattr_gender_equalityattr_leaderattr_obedientattr_populistattrpos_civilattrpos_directattrpos_econattrpos_electionattrpos_expertattrpos_gender_equalityattrpos_leaderattrpos_obedientattrpos_populistchoicecov_agecov_china_uscov_democracy_importancecov_educationcov_gendercov_ideologycov_minoritycov_party_idcov_pol_interestidprofileratingtask

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("chu_2024_democracy_jp", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("chu_2024_democracy_jp", source="conj")

How to cite

@article{Chu_2024, title={People consistently view elections and civil liberties as key components of democracy}, volume={386}, ISSN={1095-9203}, url={http://dx.doi.org/10.1126/science.adp1274}, DOI={10.1126/science.adp1274}, number={6719}, journal={Science}, publisher={American Association for the Advancement of Science (AAAS)}, author={Chu, Jonathan A. and Williamson, Scott and Yeung, Eddy S. F.}, year={2024}, month=Oct, pages={291–296} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint v4.2
Redivis dataset DOI10.57761/qkye-q530
Manifest pin for this IRW versionv4.2
Metadata sourceirw_meta v44.0