16,870 rated or chosen profiles from 1,687 respondents, in up to 5 tasks of 2 profiles varying on 8 attributes.

About this table

Description	South Korean respondents (n = 1,687, during the COVID-19 pandemic) chose between 5 pairs of hypothetical immigrants varying on 8 attributes (origin regime, trade, residence, home-country COVID-19 cases, vaccination, Korean ability, education, occupation) and judged for each whether entry should be allowed, allowed with a 14-day quarantine, or banned.
Reference	Kim, S. E., Shin, A. J., & Yang, Y. (2022). The usual suspects?: Attitudes towards immigration during the COVID-19 pandemic. Journal of Asian Public Policy, 17(2), 272-289.
DOI	10.1080/17516234.2022.2046686
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/LQ38EP

Notes

Conjoint table (irw_conjoint). Outcomes: forced choice between two immigrants (the authors' 'supporting admission'; question wording not deposited) and rating_entry, a per-profile entry decision stored in Korean and coded here 1 = entry banned, 2 = entry allowed with a mandatory 14-day quarantine, 3 = entry allowed. Profile position was not recorded, so profile numbers are arbitrary within a task. Attribute levels are the authors' English labels, including their typos ('volumne', 'communitation'). Randomization restrictions and attribute order are undocumented.

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	1,687
Rows (one per respondent, task and profile)	16,870
Tasks per respondent (most)	5
Profiles per task	2
Attributes	8
Tasks with no profile chosen	0

Design

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

Outcomes:

choice	Which of the two immigrants should be admitted (paraphrase; the authors' analysis code calls it 'probability of supporting admission') [choice, forced]
rating_entry	Entry decision for this immigrant: 입국 허용 / 입국 후 14일 격리 의무화 조건부 입국 허용 / 입국 금지 (paraphrase; answer options verbatim) [rating, 1 (입국 금지 (entry banned)) to 3 (입국 허용 (entry allowed))]

Columns

attr_covid_casesattr_educationattr_koreanattr_occupationattr_regimeattr_residenceattr_tradeattr_vaccinechoicecov_age_groupcov_collegecov_duration_seccov_gender_codecov_gradidprofilerating_entrytask

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("kim_2022_immigration_covid", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("kim_2022_immigration_covid", source="conj")

How to cite

@article{Eun_Kim_2022, title={The usual suspects?: attitudes towards immigration during the COVID-19 pandemic}, volume={17}, ISSN={1751-6242}, url={http://dx.doi.org/10.1080/17516234.2022.2046686}, DOI={10.1080/17516234.2022.2046686}, number={2}, journal={Journal of Asian Public Policy}, publisher={Informa UK Limited}, author={Eun Kim, Sung and Shin, Adrian J. and Yang, Yujeong}, year={2022}, month=Mar, pages={272–289} }

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