horiuchi_2024_osprey

27,780 rated or chosen profiles from 1,389 respondents, in up to 10 tasks of 2 profiles varying on 6 attributes.

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

About this table

DescriptionJapanese adults (national online sample of 1,002 plus an Okinawa oversample of 387) chose which of two plans to deploy MV-22 Osprey aircraft in Japan they supported, over 10 pairs varying the host camp, operating force (US military / Self-Defense Forces), regional incentives, force size, night training and training range. Forced choice.
ReferenceHoriuchi, Y., & Tago, A. (2024). U.S. military should not be in my backyard: Conjoint experiments in Japan. Journal of Conflict Resolution, 68(9), 1798-1824.
DOI10.1177/00220027231203607
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/ZIRSC1

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

Respondents1,389
Rows (one per respondent, task and profile)27,780
Tasks per respondent (most)10
Profiles per task2
Attributes6
Tasks with no profile chosen0

Design

Topicforeign policy security
A profile representspolicy
CountryJP
Language shownja
Language of stored levelsja
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choice仮に、オスプレイの新規配備について以下のような二つの案が出ていると想定してください。あなたはどちらの計画案をより支持しますか。もし、どちらを支持するかはっきりとは言えない場合でも、どちらか一方、あえていえば支持する方を選んでください。 どちらを支持しますか。 [choice, forced]

Columns

attr_force_sizeattr_locationattr_night_trainingattr_operated_byattr_regional_incentivesattr_training_rangeattrpos_force_sizeattrpos_locationattrpos_night_trainingattrpos_operated_byattrpos_regional_incentivesattrpos_training_rangechoicecov_agecov_duration_seccov_educationcov_gendercov_ideologycov_incomecov_party_idcov_prefecturecov_recaptcha_scorecov_samplecov_turnoutidprofiletask

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("horiuchi_2024_osprey", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("horiuchi_2024_osprey", source="conj")

How to cite

@article{Horiuchi_2023, title={U.S. Military Should Not Be in My Backyard: Conjoint Experiments in Japan}, volume={68}, ISSN={1552-8766}, url={http://dx.doi.org/10.1177/00220027231203607}, DOI={10.1177/00220027231203607}, number={9}, journal={Journal of Conflict Resolution}, publisher={SAGE Publications}, author={Horiuchi, Yusaku and Tago, Atsushi}, year={2023}, month=Sept, pages={1798–1824} }

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