8,032 rated or chosen profiles from 4,016 respondents, in up to 2 tasks of 1 profile varying on 5 attributes.

One of 2 tables from the same source; this one is the 2021 table. The others are listed under Related tables.

About this table

Description	German online-panel respondents (n = 4,016, May 2021) each read a medical-aid and a financial-aid vignette about an applicant EU country with five randomized features (wealth, COVID policy, efficiency, rule of law, refugee admission) and rated support 1-7.
Reference	Heermann, M., Koos, S., & Leuffen, D. (2022). Who deserves European solidarity? How recipient characteristics shape public support for international medical and financial aid during COVID-19. British Journal of Political Science.
DOI	10.1017/S0007123422000357
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/RCO69B

Notes

Conjoint table (irw_conjoint_2). Two single-profile text vignettes per respondent (medical aid, financial aid to an EU country) with five randomized binary attributes, rated 1-7 for support (1 = not support at all, 7 = strongly support); no opt-out. Level text from the article appendix; the deposit stores 0/1 dummies whose direction is read from the printed vignette and the authors' figure labels (opposite levels paraphrased).

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

Design

Topic	international economy
A profile represents	place
Country	DE
Language shown	de
Language of stored levels	en
Task order	unknown
Profile position	recorded in the deposit

Outcomes:

rating	Would you support it, if the EU offers medical (financial) aid to this country? (translated) [rating, 1 (not support at all) to 7 (strongly support)]

Columns

attr_covid_policyattr_efficiencyattr_refugeesattr_rule_of_lawattr_wealthcov_age_groupcov_altruismcov_cosmopolitanismcov_eastcov_educationcov_eu_identitycov_gendercov_incomecov_left_rightcov_survey_weightidprofileratingtasktrial_celltrial_order_codetrial_vignette

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("heermann_2022_covid_aid_2021", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("heermann_2022_covid_aid_2021", source="conj")

How to cite

@article{Heermann_2022, title={Who Deserves European Solidarity? How Recipient Characteristics Shaped Public Support for International Medical and Financial Aid during COVID-19}, volume={53}, ISSN={1469-2112}, url={http://dx.doi.org/10.1017/S0007123422000357}, DOI={10.1017/s0007123422000357}, number={2}, journal={British Journal of Political Science}, publisher={Cambridge University Press (CUP)}, author={Heermann, Max and Koos, Sebastian and Leuffen, Dirk}, year={2022}, month=Dec, pages={629–651} }

Version and provenance

IRW version	v584
Redivis dataset	irw_conjoint_2 v1.4
Redivis dataset DOI	10.57761/hk97-wv30
Manifest pin for this IRW version	v1.4
Metadata source	irw_meta v44.0

Respondents	4,016
Rows (one per respondent, task and profile)	8,032
Tasks per respondent (most)	2
Profiles per task	1
Attributes	5

heermann_2022_covid_aid_2021