fukuda_2021_health_literacy

44,372 responses from 994 respondents to 46 items.

About this table

Description46-item HLS-EU-Q47-style self-rated health-information task difficulty scale (1-4) from an online survey of Japanese educators
ReferenceFukuda Y, Ando S, Fukuda K (2021) Knowledge and preventive actions toward COVID-19, vaccination intent, and health literacy among educators in Japan: An online survey. PLoS ONE.
DOI10.1371/journal.pone.0257552
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0257552.s001

Size and shape

Responses44,372
Respondents994
Items46
Response categories4
Responses per respondent44.640
Responses per item964.609
Density0.970
LongitudinalFALSE

Classification

sampleInternet-based, Workplace
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)jpn

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentEuropean Health Literacy Survey Questionnaire (HLS-EU-Q47)
Mean words per item1
Mean characters per item2
Mean characters per response12.500
Flesch-Kincaid grade level-3.400

Columns

iditemresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("fukuda_2021_health_literacy")
# Python
pip install irw

import irw
df = irw.fetch("fukuda_2021_health_literacy")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0