11,170 rated or chosen profiles from 1,117 respondents, in up to 5 tasks of 2 profiles varying on 7 attributes.
| Description | US 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. |
|---|---|
| Reference | Adman, P., Lajevardi, N., & Seligsohn, D. (2024). American attitudes toward climate migrants: Findings from a conjoint experiment. PS: Political Science & Politics, 57(4). |
| DOI | 10.1017/S1049096524000258 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/ZH5LE9 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,117 |
|---|---|
| Rows (one per respondent, task and profile) | 11,170 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 7 |
| Tasks with no profile chosen | 0 |
| Topic | immigration asylum |
|---|---|
| A profile represents | person |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which refugee should receive the visa? [choice, forced] |
|---|---|
| choice_integrate | In your opinion, which refugee would be more likely to integrate successfully after arriving in the United States? [choice, forced] |
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.
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")
@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 & Politics}, publisher={Cambridge University Press (CUP)}, author={Adman, Per and Lajevardi, Nazita and Seligsohn, Deborah}, year={2024}, month=Oct, pages={505–515} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint v4.2 |
| Redivis dataset DOI | 10.57761/qkye-q530 |
| Manifest pin for this IRW version | v4.2 |
| Metadata source | irw_meta v44.0 |