adman_2024_climate_refugees

11,170 rated or chosen profiles from 1,117 respondents, in up to 5 tasks of 2 profiles varying on 7 attributes.

About this table

DescriptionUS adults (Bovitz, September 2022) chose between two refugee profiles described by 7 attributes (reason for leaving incl. climate-caused disaster or poverty, origin, children, English skills, gender, age, religion). 1,117 respondents, 5 paired tasks; two forced choices per task: who should receive the visa and who would integrate more successfully.
ReferenceAdman, P., Lajevardi, N., & Seligsohn, D. (2024). American attitudes toward climate migrants: Findings from a conjoint experiment. PS: Political Science & Politics, 57(4).
DOI10.1017/S1049096524000258
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/ZH5LE9

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

Respondents1,117
Rows (one per respondent, task and profile)11,170
Tasks per respondent (most)5
Profiles per task2
Attributes7
Tasks with no profile chosen0

Design

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

Outcomes:

choiceWhich refugee should receive the visa? [choice, forced]
choice_integrateIn your opinion, which refugee would be more likely to integrate successfully after arriving in the United States? [choice, forced]

Columns

attr_ageattr_childrenattr_genderattr_language_skillsattr_originattr_refugee_causeattr_religionchoicechoice_integratecov_agecov_birth_yearcov_genderidprofiletask

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("adman_2024_climate_refugees", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("adman_2024_climate_refugees", source="conj")

How to cite

@article{Adman_2024, title={American Attitudes Toward Climate Migrants: Findings from a Conjoint Experiment}, volume={57}, ISSN={1537-5935}, url={http://dx.doi.org/10.1017/S1049096524000258}, DOI={10.1017/s1049096524000258}, number={4}, journal={PS: Political Science &amp; Politics}, publisher={Cambridge University Press (CUP)}, author={Adman, Per and Lajevardi, Nazita and Seligsohn, Deborah}, year={2024}, month=Oct, pages={505–515} }

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