19,990 rated or chosen profiles from 1,999 respondents, in up to 5 tasks of 2 profiles varying on 5 attributes.

About this table

Description	US adults (n=1,999, online panel) chose between 5 pairs of hypothetical immigrants described by immigration status, country of origin, education, employment and taxes paid; forced choice of which of the two is most beneficial to the US. Fielded right after an information experiment (Study 1 arm recorded).
Reference	Aviña, M. M. (2026). Perceived economic contributions increase positivity toward undocumented immigrants. Public Opinion Quarterly, 90(3), 591-629.
DOI	10.1093/poq/nfag012
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/M4ZJTV

Notes

Outcome is "Which of these two immigrants is most beneficial to the US?" (OSF preprint SI), a forced choice with no opt-out: a judgement of benefit, not admission. Renamed from avina_2026_immigrant_admission on 2026-10-08. Levels are the codebook labels; randomization not uniform ('Illegal alien' about half of profiles). The authors' high/low education, income and ideology splits and prior-attitude classification dropped, Prolific-type IDs re-keyed; N 1,999 not checked against the paywalled article. (irw#2887)

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents	1,999
Rows (one per respondent, task and profile)	19,990
Tasks per respondent (most)	5
Profiles per task	2
Attributes	5
Tasks with no profile chosen	0

Design

Topic	immigration asylum
A profile represents	person
Country	US
Language shown	unknown
Language of stored levels	en
Randomization restrictions	unknown
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	Which of these two immigrants is most beneficial to the US? [choice, forced]

Columns

attr_country_of_originattr_current_employmentattr_education_levelattr_immigration_statusattr_total_taxes_paid_2021choicecov_nativitycov_party_idcov_racecov_survey_weightidprofiletasktrial_study1_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 needed Browse on Redivisexplore and query Croissant 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("avina_2026_immigrant_benefit", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("avina_2026_immigrant_benefit", source="conj")

How to cite

@article{Avi_a_2026, title={Perceived Economic Contributions Increase Positivity Toward Undocumented Immigrants}, volume={90}, ISSN={1537-5331}, url={http://dx.doi.org/10.1093/poq/nfag012}, DOI={10.1093/poq/nfag012}, number={3}, journal={Public Opinion Quarterly}, publisher={Oxford University Press (OUP)}, author={Aviña, Marco M}, year={2026}, pages={591–629} }

Version and provenance

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