gosciak_2026_immigrant_admission

19,814 rated or chosen profiles from 9,907 respondents, in up to 1 tasks of 2 profiles varying on 5 attributes.

About this table

DescriptionUS Prolific respondents (n = 9,907) each chose which of two hypothetical immigrants (one college-educated, one with no formal education; profession, origin, reason and prior trips varied) they would admit, with contexts assigned by an adaptive bandit design plus two validation phases.
ReferenceGosciak, J., Molitor, D., & Lundberg, I. (2026). Adaptive randomization in conjoint survey experiments. Political Analysis, 1-28.
DOI10.1017/pan.2026.10040
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/7EBDDY

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

Respondents9,907
Rows (one per respondent, task and profile)19,814
Tasks per respondent (most)1
Profiles per task2
Attributes5
Tasks with no profile chosen0

Design

Topicimmigration asylum
A profile representsperson
CountryUS
Language shownen
Language of stored levelsen
Randomization restrictionsyes (stated by the source): Profiles come as 16 fixed pairs (arms): within a pair the 4 context attributes share one value (each profile a different signal of it) and education is always College degree vs No formal education; the college profile always carries the same signals in an arm (metadata files). Arms assigned by Thompson sampling: warm-up ~equal, then adaptive max and min searches, then validation of arm 7 (max) and arm 10 (min) only.
Task orderrecorded in the deposit
Profile positioninferred from row order

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. Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

choiceWhich of these two immigrant profiles would you select for admission to the United States? [choice, forced]

Columns

attr_educationattr_originattr_prior_tripsattr_professionattr_reasonchoicecov_agecov_check_correctcov_commitmentcov_garbagecov_gendercov_hispaniccov_raceidprofiletasktrial_armtrial_phase

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("gosciak_2026_immigrant_admission", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("gosciak_2026_immigrant_admission", source="conj")

How to cite

@article{Gosciak_2026, title={Adaptive Randomization in Conjoint Survey Experiments}, volume={34}, ISSN={1476-4989}, url={http://dx.doi.org/10.1017/pan.2026.10040}, DOI={10.1017/pan.2026.10040}, number={4}, journal={Political Analysis}, publisher={Cambridge University Press (CUP)}, author={Gosciak, Jennah and Molitor, Daniel and Lundberg, Ian}, year={2026}, month=Apr, pages={541–568} }

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