hoffmann_2025_immigrant_sexuality

12,968 rated or chosen profiles from 1,621 respondents, in up to 4 tasks of 2 profiles varying on 7 attributes.

About this table

DescriptionImmigrant-admission conjoint: 1,621 US adults (Prolific, June 2023) each compared 4 pairs of described immigrants varying gender, sexuality, country wealth, skill, English, religion and reason for migrating; outcomes are which to admit, which shares US values, and 1-7 ratings of both.
ReferenceHoffmann, N. I., & Velasco, K. (2025). How sexuality affects evaluations of immigrant deservingness and cultural similarity: A conjoint survey experiment. Public Opinion Quarterly, 89(4), 1138-1153.
DOI10.1093/poq/nfaf054
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/3FONBK

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

Respondents1,621
Rows (one per respondent, task and profile)12,968
Tasks per respondent (most)4
Profiles per task2
Attributes7
Tasks with no profile chosen0

Design

Topicimmigration asylum
A profile representsperson
CountryUS
Language shownen
Language of stored levelsen
Randomization restrictionsyes (stated by the source): sexuality wording is conditional on gender: man -> gay / straight (that is, not gay), woman -> lesbian / straight (that is, not lesbian) (codebook sexuality<k> 'gay/lesbian; straight (that is, not gay/lesbian)'); substantively sexuality (gay/lesbian vs straight) is crossed with gender
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

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.

Outcomes:

choiceBased on their descriptions, which of these two immigrants would you personally prefer to see admitted to the United States? [choice, forced]
choice_valuesBased on their descriptions, which of these two immigrants do you think has greater shared values with the United States? [choice, forced]
ratingRegarding admission, how would you rate immigrant 1? A rating of 1 means that the U.S. should absolutely not admit immigrant 1, and a 7 means that the U.S. should definitely admit this immigrant. [rating, 1 (1 (definitely don't admit)) to 7 (7 (definitely admit))]
rating_valuesTo what degree do you think immigrant 1 has shared values with the U.S.? Choosing 1 signifies having no shared values, and 7 signifies a great deal of shared values. [rating, 1 (1 (no shared values)) to 7 (7 (a great deal of shared values))]

Columns

attr_country_wealthattr_englishattr_genderattr_reasonattr_religionattr_sexualityattr_skillchoicechoice_valuescov_agecov_attendcov_born_citizencov_citizencov_educationcov_ethnicitycov_gendercov_imm_1cov_imm_10cov_imm_11cov_imm_2cov_imm_3cov_imm_4cov_imm_5cov_imm_6cov_imm_7cov_imm_8cov_imm_9cov_know_lgcov_party_idcov_religioncov_sex_panelcov_sexualityidprofileratingrating_valuestask

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("hoffmann_2025_immigrant_sexuality", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("hoffmann_2025_immigrant_sexuality", source="conj")

How to cite

@article{Hoffmann_2025, title={How Sexuality Affects Evaluations of Immigrant Deservingness and Cultural Similarity: A Conjoint Survey Experiment}, volume={89}, ISSN={1537-5331}, url={http://dx.doi.org/10.1093/poq/nfaf054}, DOI={10.1093/poq/nfaf054}, number={4}, journal={Public Opinion Quarterly}, publisher={Oxford University Press (OUP)}, author={Hoffmann, Nathan I and Velasco, Kristopher}, year={2025}, pages={1138–1153} }

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