29,394 rated or chosen profiles from 1,633 respondents, in up to 9 tasks of 2 profiles varying on 4 attributes.

About this table

Description	US adults on Amazon Mechanical Turk chose between pairs of hypothetical international organizations that varied by main funder (China, EU, equal), issue focus, US involvement and decision rule. 1,633 respondents, 9 paired forced-choice tasks each.
Reference	Dai, S. (2025). How fear of domination affects public support for international organizations: A conjoint experiment approach [Data set]. figshare.
Licence	CC BY 4.0
Source data	https://doi.org/10.6084/m9.figshare.29857265

Notes

Conjoint table (irw_conjoint_2). Paired forced choice between two international organizations (4 attributes); choice = the chosen IO, no opt-out. Question wording, codebook and article are not in the deposit, and attribute levels are the authors' short labels, not the full text shown; US involvement x decision rule combinations are unbalanced. Position is recorded (IO A/B, C/D, ...). Derived dummies, dates and attitude items dropped; 1,633 respondents.

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	1,633
Rows (one per respondent, task and profile)	29,394
Tasks per respondent (most)	9
Profiles per task	2
Attributes	4
Tasks with no profile chosen	0

Design

Topic	international economy
A profile represents	organisation
Country	US
Language shown	en
Language of stored levels	en
Randomization restrictions	observed in the data (not documented by the source): No source documents the design. In the data, us_involvement and decision co-occur unevenly (No x A Few 4,899 rows, No x Majority 9,798, Yes x A Few 9,798, Yes x Majority 4,899); top_donor x issue is exactly balanced (3,266 each).
Task order	recorded in the deposit
Profile position	recorded 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	unknown [choice, forced]

Columns

attr_decisionattr_issueattr_top_donorattr_us_involvementchoicecov_age_groupcov_duration_seccov_educationcov_gendercov_ideologycov_incomecov_party_idcov_racecov_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 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("dai_2025_fear_of_domination", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("dai_2025_fear_of_domination", source="conj")

How to cite

@misc{https://doi.org/10.6084/m9.figshare.29857265,
  doi = {10.6084/M9.FIGSHARE.29857265},
  url = {https://figshare.com/articles/dataset/How_Fear_of_Domination_Affects_Public_Support_for_International_Organizations_A_Conjoint_Experiment_Approach/29857265},
  author = {Dai, Shih-chan},
  keywords = {Political science not elsewhere classified},
  title = {How Fear of Domination Affects Public Support for International Organizations:A Conjoint Experiment Approach},
  publisher = {figshare},
  year = {2025},
  copyright = {Creative Commons Attribution 4.0 International}
}

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