liu_2026_taiwan_ballots

20,544 rated or chosen profiles from 2,078 respondents, in up to 5 tasks of 2 profiles varying on 2 attributes.

About this table

DescriptionTaiwanese respondents (Study 1, n=2,078 with an answer) compared 5 pairs of ballot designs drawn from 7 (Chinese only, or Chinese with Paiwan and/or Vietnamese, stacked or in separate columns) and picked which ballot of each pair was more fair, more democratic and more efficient.
ReferenceLiu, A. H., Selsky, S., Xu, M., & Yew, J. (2026). When bilingual ballot designs promote or undermine inclusivity: Evidence from three studies. Public Opinion Quarterly.
DOI10.1093/poq/nfag048
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/YULUZ1

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

Respondents2,078
Rows (one per respondent, task and profile)20,544
Tasks per respondent (most)5
Profiles per task2
Attributes2

Design

Topicdemocracy institutions
A profile representsmessage
CountryTW
Language shownzh, pwn, vi
Language of stored levelsen
Randomization restrictionsyes (stated by the source): profiles are 7 fixed ballots: arrangement (Stacked/Separated) only for multilingual ballots; 'Chinese only' always '(not shown)' arrangement; pairs are two different ballots (all 42 ordered pairs occur)
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead.

Outcomes:

choice_democraticWhich of the two ballots is more democratic? (paraphrase) [choice, forced]
choice_efficientWhich of the two ballots is more efficient? (paraphrase) [choice, forced]
choice_fairWhich of the two ballots is more fair? (paraphrase) [choice, forced]

Columns

attr_arrangementattr_languagechoice_democraticchoice_efficientchoice_faircov_gendercov_regionidprofiletask

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("liu_2026_taiwan_ballots", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("liu_2026_taiwan_ballots", source="conj")

How to cite

@article{Liu_2026, title={When Bilingual Ballot Designs Promote or Undermine Inclusivity: Evidence from Three Studies}, volume={90}, ISSN={1537-5331}, url={http://dx.doi.org/10.1093/poq/nfag048}, DOI={10.1093/poq/nfag048}, number={SI}, journal={Public Opinion Quarterly}, publisher={Oxford University Press (OUP)}, author={Liu, Amy H and Selsky, Sam and Xu, Meiying and Yew, Joel}, year={2026}, pages={1173–1219} }

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