kenwick_2022_military_advisers

2,394 rated or chosen profiles from 2,394 respondents, in up to 1 tasks of 1 profile varying on 2 attributes.

About this table

DescriptionVignette experiment: 2,394 US online respondents (October 2019) each saw one scenario in which a president stays out of or engages in a military intervention, with the outcome (success or failure) and the adviser consulted (military or civilian) randomized (2 x 4, between-subject); outcomes are approval, trust in the president and adviser, and credit or blame.
ReferenceKenwick, M. R., & Maxey, S. R. (2022). You and whose army? How civilian leaders leverage the military's prestige to shape public opinion. The Journal of Politics, 84(3).
DOI10.1086/718355
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/2LH0BZ

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

Respondents2,394
Rows (one per respondent, task and profile)2,394
Tasks per respondent (most)1
Profiles per task1
Attributes2

Design

Topicforeign policy security
A profile representsscenario
CountryUS
Language shownen
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:

ratingApproval of the president's decision (strongly disapprove to strongly approve) (paraphrase) [rating, 1 (strongly disapprove) to 4 (strongly approve)]
rating_blameWho is to blame for the failure: adviser, both, or president (paraphrase); asked only in Failure cells [rating, -1 (adviser) to 1 (president)]
rating_creditWho deserves credit for the success: adviser, both, or president (paraphrase); asked only in Success cells [rating, -1 (adviser) to 1 (president)]
rating_trust_adviserTrust the adviser to do the right thing, no/yes (paraphrase) [rating, 0 (no) to 1 (yes)]
rating_trust_presidentTrust the president to do the right thing, no/yes (paraphrase) [rating, 0 (no) to 1 (yes)]

Columns

attr_adviserattr_outcomecov_age_groupcov_duration_seccov_educationcov_gendercov_party_ididprofileratingrating_blamerating_creditrating_trust_adviserrating_trust_presidenttask

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("kenwick_2022_military_advisers", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("kenwick_2022_military_advisers", source="conj")

How to cite

@article{Kenwick_2022, title={You and Whose Army? How Civilian Leaders Leverage the Military’s Prestige to Shape Public Opinion}, volume={84}, ISSN={1468-2508}, url={http://dx.doi.org/10.1086/718355}, DOI={10.1086/718355}, number={4}, journal={The Journal of Politics}, publisher={University of Chicago Press}, author={Kenwick, Michael R. and Maxey, Sarah}, year={2022}, month=Oct, pages={1963–1978} }

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