bonnenfant_2026_cyprus_peace

16,210 rated or chosen profiles from 1,621 respondents, in up to 5 tasks of 2 profiles varying on 5 attributes.

About this table

DescriptionGreek Cypriot and Turkish Cypriot residents of Cyprus (n = 1,621) compared, in five tasks of two profiles, hypothetical peace-settlement packages described by federal executive, territory, property compensation, implementation arrangement and supreme court, and chose one in each pair.
ReferenceKuscu Bonnenfant, I., Morgan-Jones, E., Psaltis, C., Popp, R., Sudulich, L., & Loizides, N. (2026). Long-distance nationalism and peace settlement preferences. International Studies Quarterly, 70(1), sqag008.
DOI10.1093/isq/sqag008
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/OVWLIV

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

Respondents1,621
Rows (one per respondent, task and profile)16,210
Tasks per respondent (most)5
Profiles per task2
Attributes5
Tasks with no profile chosen0

Design

Topicforeign policy security, democracy institutions
A profile representspolicy
CountryCY
Language shownunknown
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:

choiceunknown (question wording not in the deposit; one of two settlement packages was selected) [choice, forced]

Columns

attr_federal_executiveattr_implementationattr_propertyattr_supreme_courtattr_territorychoicecov_age_groupcov_communitycov_educationcov_gendercov_survey_weightidprofiletask

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("bonnenfant_2026_cyprus_peace", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("bonnenfant_2026_cyprus_peace", source="conj")

How to cite

@article{Bonnenfant_2026, title={Long-Distance Nationalism and Peace Settlement Preferences}, volume={70}, ISSN={1468-2478}, url={http://dx.doi.org/10.1093/isq/sqag008}, DOI={10.1093/isq/sqag008}, number={1}, journal={International Studies Quarterly}, publisher={Oxford University Press (OUP)}, author={Bonnenfant, Işık Kuşçu and Morgan-Jones, Edward and Psaltis, Charis and Popp, Raluca and Sudulich, Laura and Loizides, Neophytos}, year={2026}, month=Jan }

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