22,450 rated or chosen profiles from 2,245 respondents, in up to 5 tasks of 2 profiles varying on 6 attributes.
| Description | Taiwanese respondents (n = 2,245) each saw 5 pairs of hypothetical politicians with randomized gender, party, education, past meetings with senior Chinese and US officials and stance on the 1992 Consensus, and chose which (if either) they preferred as a defender of national security. |
|---|---|
| Reference | Pan, H.-H., & Kagotani, K. (forthcoming). Diplomatic visits and image-building: A conjoint analysis in Taiwan. Asian Survey. |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/HMRB9N |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,245 |
|---|---|
| Rows (one per respondent, task and profile) | 22,450 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 6 |
| Tasks with no profile chosen | 5,105 |
| Topic | candidate choice |
|---|---|
| A profile represents | person |
| Country | TW |
| Language shown | zh |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which of these two politicians would you prefer as a defender of Taiwan's national security? (paraphrase) [choice, opt-out allowed] |
|---|
attr_cross_strait_policyattr_educationattr_genderattr_met_china_officialsattr_met_us_officialsattr_partychoicecov_born_before_1978cov_collegecov_cross_strait_relationscov_gendercov_residencecov_us_taiwan_relationsidprofiletask
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("pan_2025_diplomatic_visits", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("pan_2025_diplomatic_visits", source="conj")
@misc{https://doi.org/10.7910/dvn/hmrb9n,
doi = {10.7910/DVN/HMRB9N},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/HMRB9N},
author = {Pan, Hsin-Hsin and Kagotani, Koji},
keywords = {Social Sciences, Taiwan, diplomatic visits, national security, image-building, conjoint analysis},
title = {Replication Data for: Diplomatic Visits and Image-Building: A Conjoint Analysis in Taiwan},
publisher = {Harvard Dataverse},
year = {2025}
}
| 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 |