7,672 rated or chosen profiles from 1,096 respondents, in up to 7 tasks of 1 profile varying on 5 attributes.

About this table

Description	Single-profile conjoint on COVID-19 vaccines: 1,096 US adults (Lucid, 2020) each judged seven hypothetical vaccines varying cost or financial incentive, FDA approval vs emergency use authorization, efficacy, manufacturer and risk of mild side effects; outcomes are whether they would get the vaccine and a 7-point likelihood.
Reference	Kreps, S., Dasgupta, N., Brownstein, J. S., Hswen, Y., & Kriner, D. L. (2021). Public attitudes toward COVID-19 vaccination: The role of vaccine attributes, incentives, and misinformation. npj Vaccines, 6, 73.
DOI	10.1038/s41541-021-00335-2
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/ZYU6CO

Notes

Conjoint table (irw_conjoint). Seven single vaccine profiles per respondent; choice = would choose to get this vaccine (1) vs not be vaccinated (0), a single-profile accept/reject (opt_out yes); rating = 'How likely or unlikely would you be to get the vaccine described above?' 1 extremely likely to 7 extremely unlikely, raw (lower = more likely). Attribute order randomized once per respondent; restrictions not documented; EUA level text truncated in the deposit. N = 1,096.

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	1,096
Rows (one per respondent, task and profile)	7,672
Tasks per respondent (most)	7
Profiles per task	1
Attributes	5
Tasks with no profile chosen	3,253

Design

Topic	health covid
A profile represents	product service
Country	US
Language shown	en
Language of stored levels	en
Randomization restrictions	unknown
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	If you had to choose, would you choose to get this vaccine, or would you choose not to be vaccinated? (paraphrase: the stored label stops after 'or would you choose'; ending from the answer options) [choice, opt-out allowed]
rating	How likely or unlikely would you be to get the vaccine described above? [rating, 1 (Extremely likely) to 7 (Extremely unlikely)]

Columns

attr_approvalattr_costattr_efficacyattr_manufacturerattr_mild_side_effectsattrpos_approvalattrpos_costattrpos_efficacyattrpos_manufacturerattrpos_mild_side_effectschoicecov_agecov_duration_seccov_educationcov_gendercov_ideologycov_party_idcov_stateidprofileratingtask

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("kreps_2021_vaccine_incentives", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("kreps_2021_vaccine_incentives", source="conj")

How to cite

@article{Kreps_2021, title={Public attitudes toward COVID-19 vaccination: The role of vaccine attributes, incentives, and misinformation}, volume={6}, ISSN={2059-0105}, url={http://dx.doi.org/10.1038/s41541-021-00335-2}, DOI={10.1038/s41541-021-00335-2}, number={1}, journal={npj Vaccines}, publisher={Springer Science and Business Media LLC}, author={Kreps, Sarah and Dasgupta, Nabarun and Brownstein, John S. and Hswen, Yulin and Kriner, Douglas L.}, year={2021}, month=May }

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