ghanbari_2016_helma_access

6,402 responses from 582 respondents to 11 items.

About this table

DescriptionHELMA (Health Literacy Measure for Adolescents) access-to-health-information subscale (11 items 1-5 Likert) N=582 Iranian adolescents
ReferenceGhanbari S et al. 2016 PLOS ONE
DOI10.1371/journal.pone.0149202
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0149202

Size and shape

Responses6,402
Respondents582
Items11
Response categories5
Responses per respondent11
Responses per item582
Density1
LongitudinalFALSE

Classification

age rangeMixed
child age (for child-focused studies)Adolescent (12-18y)
sampleEducational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)per

Item text

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

InstrumentHealth Literacy Measure for Adolescents (HELMA), pre-final 47-item version
Mean words per item12
Mean characters per item64.182
Mean characters per response7.400
Flesch-Kincaid grade level8.131

Columns

cov_agecov_classcov_father_educationcov_father_jobcov_fieldcov_first_health_info_sourcecov_health_statuscov_interest_in_healthcov_internet_holidaycov_internet_schooldaycov_magazine_usecov_mother_educationcov_mother_jobcov_radio_usecov_regioncov_sexcov_tv_holidaycov_tv_schooldayiditemresp

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("ghanbari_2016_helma_access")
# Python
pip install irw

import irw
df = irw.fetch("ghanbari_2016_helma_access")

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