munzert_2022_vaccine_priority

34,680 rated or chosen profiles from 4,354 respondents, in up to 4 tasks of 2 profiles varying on 7 attributes.

About this table

DescriptionOnline panel respondents in Brazil, Germany, Italy, Poland and the US (Sep-Dec 2020, n=4,354) chose in 4 tasks which of two hypothetical persons should be prioritized for a COVID-19 vaccine; persons varied gender, age, children, job, citizenship, pre-existing condition and early registration; forced choice.
ReferenceMunzert, S., Ramirez-Ruiz, S., Çalı, B., Stoetzer, L. F., Gohdes, A., & Lowe, W. (2022). Prioritization preferences for COVID-19 vaccination are consistent across five countries. Humanities and Social Sciences Communications, 9, 439.
DOI10.1057/s41599-022-01392-1
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/OAMAOE

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

Respondents4,354
Rows (one per respondent, task and profile)34,680
Tasks per respondent (most)4
Profiles per task2
Attributes7
Tasks with no profile chosen0

Design

Topichealth covid
A profile representsperson
CountryBR, DE, IT, PL, US
Language shownpt, de, it, pl, en
Language of stored levelsen
Randomization restrictionsyes (stated by the source): Job level 'Teacher' exists only in the German survey (other countries: 5 job levels); otherwise levels completely randomized. hence the lower share of Teacher in the pooled table
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:

choicePlease look at the profiles of the two persons thoroughly and then make your decision. Note: Please assume that the vaccine is both safe and effective, i.e. does not have serious adverse effects and protects the person reliably from getting COVID-19. Which person would you prioritize for access to the vaccine? [choice, forced]

Columns

attr_ageattr_citizenshipattr_early_registrationattr_genderattr_has_childrenattr_jobattr_preexisting_conditionchoicecov_birth_yearcov_countrycov_educationcov_gendercov_health_conditioncov_languagecov_leftrightcov_preconditioncov_trust_fedgovcov_trust_hccov_trust_mediacov_trust_scicov_trust_stategovidprofiletask

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("munzert_2022_vaccine_priority", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("munzert_2022_vaccine_priority", source="conj")

How to cite

@article{Munzert_2022, title={Prioritization preferences for COVID-19 vaccination are consistent across five countries}, volume={9}, ISSN={2662-9992}, url={http://dx.doi.org/10.1057/s41599-022-01392-1}, DOI={10.1057/s41599-022-01392-1}, number={1}, journal={Humanities and Social Sciences Communications}, publisher={Springer Science and Business Media LLC}, author={Munzert, Simon and Ramirez-Ruiz, Sebastian and Çalı, Başak and Stoetzer, Lukas F. and Gohdes, Anita and Lowe, Will}, year={2022}, month=Dec }

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