horiuchi_2024_f35

68,260 rated or chosen profiles from 4,268 respondents, in up to 8 tasks of 2 profiles varying on 5 attributes.

One of 2 tables from the same source; this one is the f35 table. The others are listed under Related tables.

About this table

DescriptionJapanese adults (national online sample of 3,199 plus an Okinawa oversample, 4,268 respondents in all) chose which of two plans to deploy F-35 fighters in Japan they supported, over 8 pairs (the 8th repeats the 1st) varying the air base, operating force, soundproofing subsidy, regional incentives and night training. 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

Respondents4,268
Rows (one per respondent, task and profile)68,260
Tasks per respondent (most)8
Profiles per task2
Attributes5
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、Fー35戦闘機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_locationattr_night_trainingattr_operated_byattr_regional_incentivesattr_soundproofingattrpos_locationattrpos_night_trainingattrpos_operated_byattrpos_regional_incentivesattrpos_soundproofingchoicecov_agecov_attention_checkcov_duration_seccov_educationcov_framecov_gendercov_ideologycov_incomecov_party_idcov_prefecturecov_recaptcha_scorecov_samplecov_turnoutcov_us_presencecov_us_presence_localidprofiletasktrial_repeat_of

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_f35", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("horiuchi_2024_f35", 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