lupu_2024_laws_of_war_uk

2,197 rated or chosen profiles from 2,197 respondents, in up to 1 tasks of 1 profile varying on 4 attributes.

One of 3 tables from the same source; this one is the uk table. The others are listed under Related tables.

About this table

Description2,197 adults in United Kingdom (online panel) each read one vignette about a conflict abroad, randomized on the rebels' aims (secession/overthrow), the government's regime type, and whether the rebels and the government comply with the laws of war; outcomes are approval of the government and of the rebels (5-point).
ReferenceLupu, Y., & Wallace, G. P. R. (2024). The laws of war and public support for foreign combatants. International Organization.
DOI10.1017/S0020818324000274
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/WYYEWK

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

Respondents2,197
Rows (one per respondent, task and profile)2,197
Tasks per respondent (most)1
Profiles per task1
Attributes4

Design

Topicforeign policy security
A profile representsscenario
CountryGB
Language shownen
Language of stored levelsen
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:

rating_governmentApproval of the government (Qualtrics item App_Gov; wording not in the deposit) (paraphrase) [rating, 1 (Strongly disapprove) to 5 (Strongly approve)]
rating_rebelsApproval of the rebels / opposition (Qualtrics item App_Reb; wording not in the deposit) (paraphrase) [rating, 1 (Strongly disapprove) to 5 (Strongly approve)]

Columns

attr_government_lawattr_government_typeattr_rebel_aimsattr_rebel_lawcov_age_groupcov_educationcov_genderidprofilerating_governmentrating_rebelstasktrial_actor_order

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("lupu_2024_laws_of_war_uk", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("lupu_2024_laws_of_war_uk", source="conj")

How to cite

@article{Lupu_2024, title={The Laws of War and Public Support for Foreign Combatants}, volume={78}, ISSN={1531-5088}, url={http://dx.doi.org/10.1017/S0020818324000274}, DOI={10.1017/s0020818324000274}, number={4}, journal={International Organization}, publisher={Cambridge University Press (CUP)}, author={Lupu, Yonatan and Wallace, Geoffrey P.R.}, year={2024}, pages={823–852} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint_2 v1.4
Redivis dataset DOI10.57761/hk97-wv30
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v44.0