7,751 rated or chosen profiles from 646 respondents, in up to 6 tasks of 2 profiles varying on 5 attributes.

One of 2 tables from the same source; this one is the uk table. The others are listed under Related tables.

About this table

Description	UK respondents compared pairs of hypothetical international missions (peacekeeping, diplomatic or humanitarian) varying in personnel, size, lead organisation and location; 646 respondents, 6 pairs each. Outcomes are a forced choice and a 1-5 perceived-effectiveness rating of each mission.
Reference	Pickering, S. (2025). Replication data for: Peacekeeping by any other name: A conjoint experiment evaluating support for peacekeeping, diplomatic and humanitarian missions in Japan and the UK [Data set]. Harvard Dataverse.
Licence	CC BY 4.0
Source data	https://doi.org/10.7910/DVN/XKSZCU

Notes

Conjoint table (irw_conjoint). choice between missions A and B, rating 1 = not at all effective to 5 = extremely effective; exact wording not deposited. The source's non-substantive code 8 is set missing. Note the deposit's file names are swapped: replication_data_jp.csv holds the UK sample.

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	646
Rows (one per respondent, task and profile)	7,751
Tasks per respondent (most)	6
Profiles per task	2
Attributes	5
Tasks with no profile chosen	0

Design

Topic	foreign policy security
A profile represents	policy
Country	GB
Language shown	unknown
Language of stored levels	en
Randomization restrictions	unknown
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	unknown [choice, forced]
rating	unknown [rating, 1 (Not at all effective) to 5 (Extremely effective)]

Columns

attr_leadattr_locationattr_missionattr_personnelattr_sizechoiceidprofileratingtask

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("pickering_2025_peacekeeping_uk", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("pickering_2025_peacekeeping_uk", source="conj")

How to cite

@misc{https://doi.org/10.7910/dvn/xkszcu,
  doi = {10.7910/DVN/XKSZCU},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/XKSZCU},
  author = {Pickering, Steve},
  keywords = {Social Sciences},
  title = {Replication Data for: Peacekeeping by any other name: A conjoint experiment evaluating support for peacekeeping, diplomatic and humanitarian missions in Japan and the UK},
  publisher = {Harvard Dataverse},
  year = {2025}
}

Version and provenance

IRW version	v584
Redivis dataset	irw_conjoint v4.2
Redivis dataset DOI	10.57761/qkye-q530
Manifest pin for this IRW version	v4.2
Metadata source	irw_meta v44.0