2,114 rated or chosen profiles from 2,114 respondents, in up to 1 tasks of 1 profile varying on 5 attributes.
One of 2 tables from the same source; this one is the peacekeeping table. The others are listed under Related tables.
| Description | 2,114 Chinese adults (wave 3, online) each read one vignette on a UN peacekeeping mission, randomized on the aggressor's regime, goal, conflict-zone size, effect on China's interests and one of four Chinese-government behaviours; outcome is approve / neutral / disapprove. |
|---|---|
| Reference | Li, X., & Chen, D. (2021). Public opinion, international reputation, and audience costs in an authoritarian regime. Conflict Management and Peace Science. |
| DOI | 10.1177/0738894220906374 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/QVTAKG |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,114 |
|---|---|
| Rows (one per respondent, task and profile) | 2,114 |
| Tasks per respondent (most) | 1 |
| Profiles per task | 1 |
| Attributes | 5 |
| Topic | foreign policy security |
|---|---|
| A profile represents | scenario |
| Country | CN |
| Language shown | zh |
| Language of stored levels | en |
| 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 | How would you evaluate the way the Chinese government handled the situation? (approve / disapprove / neutral) [rating, 1 (disapprove) to 3 (approve)] |
|---|
attr_conflict_zoneattr_goalattr_government_behaviorattr_interestsattr_regimecov_agecov_educationcov_gendercov_political_affiliationidprofileratingtask
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("li_2021_china_peacekeeping", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("li_2021_china_peacekeeping", source="conj")
@article{Li_2020, title={Public opinion, international reputation, and audience costs in an authoritarian regime}, volume={38}, ISSN={1549-9219}, url={http://dx.doi.org/10.1177/0738894220906374}, DOI={10.1177/0738894220906374}, number={5}, journal={Conflict Management and Peace Science}, publisher={SAGE Publications}, author={Li, Xiaojun and Chen, Dingding}, year={2020}, month=Mar, pages={543–560} }
| 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 |