10,240 rated or chosen profiles from 1,024 respondents, in up to 5 tasks of 2 profiles varying on 3 attributes.

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

About this table

Description	Japanese adults (Lucid panel, 26-28 March 2021; n = 1024) chose, in 5 paired tasks, the more desirable of two vaccination situations, each setting whether they themselves, a familiar person they had picked, and society as a whole vaccinate, wait and see, or do not vaccinate against COVID-19.
Reference	Ohmura, H. (2022). Analysis of social combinations of COVID-19 vaccination: Evidence from a conjoint analysis. PLOS ONE, 17(1), e0261426.
DOI	10.1371/journal.pone.0261426
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/YU7CC1

Notes

Conjoint table (irw_conjoint). Forced choice of the more desirable of two situations ('あなたにとって、以下の2つの状況のうちどちらが望ましいですか。'), 5 tasks, no opt-out; the 'familiar' attribute refers to the person the respondent picked beforehand (cov_familiar_entity). Level text is the author's English labels ('wait and see' = 'do not vaccinate now, vaccinate later'), not the Japanese shown. Unanswered tasks dropped; N 1,024 matches the article. Age (cov_age) is the free-entry age kept only when a whole number 18-110 (typed birth dates and text set to NA); gender and education codes are unlabelled.

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	1,024
Rows (one per respondent, task and profile)	10,240
Tasks per respondent (most)	5
Profiles per task	2
Attributes	3
Tasks with no profile chosen	0

Design

Topic	health covid
A profile represents	scenario
Country	JP
Language shown	ja
Language of stored levels	en
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	以下に2つの選択肢を挙げさせていただきます。あなたにとって、以下の2つの状況のうちどちらが望ましいですか。 Choice 1とChoice 2のうち、どちらか一つをお選びください。 [choice, forced]

Columns

attr_familiarattr_myselfattr_societyattrpos_familiarattrpos_myselfattrpos_societychoicecov_agecov_education_codecov_familiar_entitycov_gender_codeidprofiletask

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("ohmura_2022_covid_vaccination_lucid", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("ohmura_2022_covid_vaccination_lucid", source="conj")

How to cite

@article{Ohmura_2022, title={Analysis of social combinations of COVID-19 vaccination: Evidence from a conjoint analysis}, volume={17}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0261426}, DOI={10.1371/journal.pone.0261426}, number={1}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Ohmura, Hanako}, editor={Gesser-Edelsburg, Anat}, year={2022}, month=Jan, pages={e0261426} }

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