kenwick_2024_border_treatments

32,110 rated or chosen profiles from 3,228 respondents, in up to 5 tasks of 2 profiles varying on 7 attributes.

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

About this table

DescriptionUS online respondents (Dec 2022) read one of four status-threat vignettes (trial_arm) and then chose between pairs of border-security policies varying in agency, strategy, budget and effects on immigration, trafficking and terrorism; 3,228 respondents, up to 5 tasks.
ReferenceKenwick, M. R., & Maxey, S. (2024). Explaining public demands for border militarization. Journal of Conflict Resolution, 69(6), 1005-1032.
DOI10.1177/00220027241268482
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/EKVWUC

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

Respondents3,228
Rows (one per respondent, task and profile)32,110
Tasks per respondent (most)5
Profiles per task2
Attributes7
Tasks with no profile chosen0

Design

Topicimmigration asylum
A profile representspolicy
CountryUS
Language shownen
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceWhich of the two border security policies do you prefer? (paraphrase; answer options 'Policy A' / 'Policy B'; wording not in deposit) [choice, forced]

Columns

attr_agencyattr_budgetattr_drug_traffickingattr_human_traffickingattr_immigrationattr_strategyattr_terrorismchoicecov_age_groupcov_attention_passcov_attention_politicscov_educationcov_gendercov_hispaniccov_ideologycov_incomecov_manipulation_passcov_military_servicecov_party5cov_raceidprofiletasktrial_arm

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_2024_border_treatments", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("kenwick_2024_border_treatments", source="conj")

How to cite

@article{Kenwick_2024, title={Explaining Public Demands for Border Militarization}, volume={69}, ISSN={1552-8766}, url={http://dx.doi.org/10.1177/00220027241268482}, DOI={10.1177/00220027241268482}, number={6}, journal={Journal of Conflict Resolution}, publisher={SAGE Publications}, author={Kenwick, Michael R. and Maxey, Sarah}, year={2024}, month=Oct, pages={1005–1032} }

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