ferwerda_2023_vaccine_priority

12,670 rated or chosen profiles from 1,268 respondents, in up to 5 tasks of 2 profiles varying on 8 attributes.

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

About this table

DescriptionItalian online panel respondents (wave 2, February 2021; 1,268 respondents, 1,236 in the authors' two-wave sample) chose which of two hypothetical Italian citizens should get priority for scarce COVID-19 vaccines, over 5 pairs described by age, birthplace, economic status, party, sex, education, health and occupation (Italian text).
ReferenceFerwerda, J., Magni, G., Hooghe, L., & Marks, G. (2024). How crises shape circles of solidarity: Evidence from the COVID-19 pandemic in Italy. Comparative Political Studies, 57(2), 356-381.
DOI10.1177/00104140231169028
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/LKGEF8

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

Respondents1,268
Rows (one per respondent, task and profile)12,670
Tasks per respondent (most)5
Profiles per task2
Attributes8
Tasks with no profile chosen0

Design

Topichealth covid
A profile representsperson
CountryIT
Language shownit
Language of stored levelsit
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceAl momento non ci sono abbastanza vaccini per tutti e non è possibile distribuirli a tutta la popolazione. Consideri i due individui qui sotto. Se lei fosse incaricato di decidere come distribuire i vaccini, quale dei seguenti cittadini italiani dovrebbe avere la priorità secondo lei? [choice, forced]

Columns

attr_ageattr_birthplaceattr_economic_statusattr_educationattr_genderattr_healthattr_occupationattr_partyattrpos_ageattrpos_birthplaceattrpos_economic_statusattrpos_educationattrpos_genderattrpos_healthattrpos_occupationattrpos_partychoicecov_age_groupcov_gendercov_in_authors_samplecov_leftrightcov_non_citizencov_panel_idcov_regioncov_voteidprofiletask

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("ferwerda_2023_vaccine_priority", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("ferwerda_2023_vaccine_priority", source="conj")

How to cite

@article{Ferwerda_2023, title={How Crises Shape Circles of Solidarity: Evidence From the COVID-19 Pandemic in Italy}, volume={57}, ISSN={1552-3829}, url={http://dx.doi.org/10.1177/00104140231169028}, DOI={10.1177/00104140231169028}, number={2}, journal={Comparative Political Studies}, publisher={SAGE Publications}, author={Ferwerda, Jeremy and Magni, Gabriele and Hooghe, Liesbet and Marks, Gary}, year={2023}, month=May, pages={356–381} }

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