kertzer_2021_resolve

32,048 rated or chosen profiles from 2,003 respondents, in up to 8 tasks of 2 profiles varying on 7 attributes.

About this table

DescriptionPaired conjoint on judging resolve in international disputes: 2,003 US adults (January 2015) compared 8 pairs of countries described by regime type, military capabilities, stakes, leader background (tenure, military service, gender), relation to the US, previous and current crisis behaviour; outcomes are which country is more likely to stand firm and a 0-100 likelihood that each will.
ReferenceKertzer, J. D., Renshon, J., & Yarhi-Milo, K. (2021). How do observers assess resolve? British Journal of Political Science, 51(1), 308-330.
DOI10.1017/s0007123418000595
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/VSVMY7

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

Respondents2,003
Rows (one per respondent, task and profile)32,048
Tasks per respondent (most)8
Profiles per task2
Attributes7
Tasks with no profile chosen0

Design

Topicforeign policy security
A profile representsplace
CountryUS
Language shownen
Language of stored levelsen
Randomization restrictionsobserved in the data (not documented by the source): no source documents rules; in the data a profile that 'is the United States' is always 'a democracy' and 'has a very powerful military', and at most one profile per task is the United States. Shares are unequal as a result: democracy 0.50 vs 0.25/0.25, powerful military 0.62, foreign relations ally/adversary 0.38 each and US 0.25
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead.

Outcomes:

choiceWhich of the two countries do you think is more likely to stand firm? (paraphrase) [choice, forced]
ratingHow likely is it that this country will stand firm? (paraphrase) [rating, 0 (unknown) to 100 (unknown)]

Columns

attr_current_behaviorattr_foreign_relationsattr_government_typeattr_interestsattr_leader_backgroundattr_military_capabilitiesattr_previous_behaviorattrpos_current_behaviorattrpos_foreign_relationsattrpos_government_typeattrpos_interestsattrpos_leader_backgroundattrpos_military_capabilitiesattrpos_previous_behaviorchoicecov_agecov_birth_yearcov_duration_seccov_education_codecov_gendercov_party_id7cov_survey_weightidprofileratingtasktrial_response_sec

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("kertzer_2021_resolve", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("kertzer_2021_resolve", source="conj")

How to cite

@article{Kertzer_2019, title={How Do Observers Assess Resolve?}, volume={51}, ISSN={1469-2112}, url={http://dx.doi.org/10.1017/s0007123418000595}, DOI={10.1017/s0007123418000595}, number={1}, journal={British Journal of Political Science}, publisher={Cambridge University Press (CUP)}, author={Kertzer, Joshua D and Renshon, Jonathan and Yarhi-Milo, Keren}, year={2019}, month=June, pages={308–330} }

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