10,110 rated or chosen profiles from 1,011 respondents, in up to 5 tasks of 2 profiles varying on 7 attributes.
One of 2 tables from the same source; this one is the concrete table. The others are listed under Related tables.
| Description | Taiwanese adults (wave 2, concrete condition, n=1,011) compared 5 pairs of hypothetical scenarios of Chinese aggression varying international military support (doing nothing/providing weapons/sending troops by the US and Japan), sanctions, economic and military strength, readiness, morale and party unity, choosing one (perceived victory). |
|---|---|
| Reference | Fu, R. T., Lee, E. I., & Kao, K. Y. (2026). Do you think David can win against Goliath? Evidence on factors affecting popular perceptions of victory in Taiwan against Chinese aggression. Research & Politics. |
| DOI | 10.1177/20531680261467197 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/FUILWY |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,011 |
|---|---|
| Rows (one per respondent, task and profile) | 10,110 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 7 |
| Tasks with no profile chosen | 0 |
| Topic | foreign policy security |
|---|---|
| A profile represents | scenario |
| Country | TW |
| Language shown | unknown |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | which scenario is more likely to result in Taiwan's victory (paraphrase) [choice, forced] |
|---|
attr_economic_strengthattr_military_strengthattr_military_supportattr_moraleattr_party_unityattr_readinessattr_sanctionschoicecov_age_groupcov_birth_yearcov_gendercov_identitycov_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.
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_2026_victory_concrete", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("fu_2026_victory_concrete", source="conj")
@article{Fu_2026, title={Do you think David can win against Goliath? Evidence on factors affecting popular perceptions of victory in Taiwan against Chinese aggression}, volume={13}, ISSN={2053-1680}, url={http://dx.doi.org/10.1177/20531680261467197}, DOI={10.1177/20531680261467197}, number={3}, journal={Research & Politics}, publisher={SAGE Publications}, author={Fu, Ronan Tse-min and Lee, Elaine I-lien and Kao, Karyn Y.}, year={2026}, month=July }
| 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 |