nurjanah_2019_hls47

48,363 responses from 1,029 respondents to 47 items.

About this table

DescriptionIndonesian Health Literacy Survey (HLS-EU-Q47), 47 items on a 1-4 difficulty scale. 48,363 responses from 1,029 respondents on 47 items.
ReferenceNurjanah, & Rachmani, E. (2019). Data for: Using the feature selection with genetic algorithm to abbreviate Indonesia's health literacy questionnaire [Data set]. Mendeley Data. https://doi.org/10.17632/zr54c7rxs3
LicenceCC BY 4.0
Source datahttps://data.mendeley.com/datasets/zr54c7rxs3

Size and shape

Responses48,363
Respondents1,029
Items47
Response categories4
Responses per respondent47
Responses per item1,029
Density1
LongitudinalFALSE

Classification

measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ind

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("nurjanah_2019_hls47")
# Python
pip install irw

import irw
df = irw.fetch("nurjanah_2019_hls47")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_4 v7.0
Redivis dataset DOI10.57761/cpj5-vm97
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0