2,505 rated or chosen profiles from 2,505 respondents, in up to 1 tasks of 1 profile varying on 2 attributes.

About this table

Description	2,505 Taiwanese online respondents each read one hypothetical war scenario in which casualties fell on the US, Taiwan, the PLA or Chinese civilians (4 levels) at a scale of 1,000, 10,000 or 100,000 deaths, and gave a 1-5 war-support score.
Reference	Fu, R., Yin, W., & Han, E. (2024). The human cost of war: An experimental study of Taiwanese attitudes towards war casualties. Conflict Management and Peace Science, 42(5).
DOI	10.1177/07388942241290445
Licence	CC0 1.0
Source data	https://doi.org/10.7910/dvn/ojjlzc

Notes

Conjoint table (irw_conjoint_2). One hypothetical war scenario per respondent (Taiwan, online): whose casualties (US, Taiwan, PLA, civilians) x casualty size (1,000 / 10,000 / 100,000 deaths); rating = war-support score 1-5 stored raw (higher = more support, inferred from the authors' recode). Attribute level text is the short labels from the authors' Stata code, not the displayed vignette text (the deposit holds no questionnaire); the question wording and anchors are unknown.

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	2,505
Rows (one per respondent, task and profile)	2,505
Tasks per respondent (most)	1
Profiles per task	1
Attributes	2

Design

Topic	foreign policy security
A profile represents	scenario
Country	TW
Language shown	unknown
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:

rating	unknown (support for war; analysis variable score/support, integer 1-5; wording not in deposit) [rating, 1 (unknown (lowest support)) to 5 (unknown (highest support))]

Columns

attr_casualty_partyattr_casualty_sizecov_age_group_codecov_gender_codeidprofileratingtask

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("fu_2024_war_casualties", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("fu_2024_war_casualties", source="conj")

How to cite

@article{Tse_min_Fu_2024, title={The human cost of war: An experimental study of Taiwanese attitudes towards war casualties}, volume={42}, ISSN={1549-9219}, url={http://dx.doi.org/10.1177/07388942241290445}, DOI={10.1177/07388942241290445}, number={5}, journal={Conflict Management and Peace Science}, publisher={SAGE Publications}, author={Tse-min Fu, Ronan and Yin, Weiwen and Han, Enze}, year={2024}, month=Oct, pages={559–577} }

Version and provenance

IRW version	v584
Redivis dataset	irw_conjoint_2 v1.4
Redivis dataset DOI	10.57761/hk97-wv30
Manifest pin for this IRW version	v1.4
Metadata source	irw_meta v44.0