maxey_2025_intervention_success

12,129 rated or chosen profiles from 1,213 respondents, in up to 5 tasks of 2 profiles varying on 7 attributes.

About this table

DescriptionConjoint experiment in which 1,213 US online respondents compared five pairs of hypothetical US military interventions differing in security and humanitarian outcomes, casualties, costs, durability of peace and target regime. Outcomes: which intervention was more successful, and a 1-4 success rating of each.
ReferenceMaxey, S. (2025). Good enough? Public perceptions of success in military interventions. International Studies Quarterly, 69(3), sqaf051.
DOI10.1093/isq/sqaf051
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/RB08VT

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents1,213
Rows (one per respondent, task and profile)12,129
Tasks per respondent (most)5
Profiles per task2
Attributes7
Tasks with no profile chosen0

Design

Topicforeign policy security
A profile representspolicy
CountryUS
Language shownen
Language of stored levelsen
Randomization restrictionsunknown
Task orderinferred from row order
Profile positioninferred from row order

Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

choiceWhich intervention was the MOST successful? [choice, forced]
ratingHow successful were each of the interventions? [rating, 1 (Very Unsuccessful) to 4 (Very Successful)]

Columns

attr_civilians_killedattr_financial_costsattr_humanitarian_outcomeattr_peace_lastsattr_security_outcomeattr_soldiers_killedattr_target_regimechoicecov_age_group_codecov_attention_passcov_education_codecov_gender_codecov_hispaniccov_party_id7_codecov_raceidprofileratingtask

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 neededBrowse on Redivisexplore and queryCroissant 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("maxey_2025_intervention_success", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("maxey_2025_intervention_success", source="conj")

How to cite

@article{Maxey_2025, title={Good Enough? Public Perceptions of Success in Military Interventions}, volume={69}, ISSN={1468-2478}, url={http://dx.doi.org/10.1093/isq/sqaf051}, DOI={10.1093/isq/sqaf051}, number={3}, journal={International Studies Quarterly}, publisher={Oxford University Press (OUP)}, author={Maxey, Sarah}, year={2025}, month=June }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint v4.2
Redivis dataset DOI10.57761/qkye-q530
Manifest pin for this IRW versionv4.2
Metadata sourceirw_meta v44.0