morales_2025_ehealth_much

22,428 responses from 1,068 respondents to 21 items.

About this table

DescriptioneHealth literacy (eHealth-Much), 21 items, 1 = strongly disagree to 5 = strongly agree. Peruvian health-service users (Spanish administration). N=1068.
ReferenceMorales J, Eguia CA (2025). Alfabetizacion en eSalud en usuarios de servicios de salud: Construccion y validacion de un instrumento de medicion [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15328068
LicenceCC BY 4.0
Source datahttps://zenodo.org/records/15328068

Size and shape

Responses22,428
Respondents1,068
Items21
Response categories5
Responses per respondent21
Responses per item1,068
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleClinical
construct typeCognitive/educational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)spa
construct nameeHealth literacy

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, morales_2025_ehealth_much.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).ID
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script

What item codes and covariate values stand for is in the source’s codebook, content.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant 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("morales_2025_ehealth_much")
# Python
pip install irw

import irw
df = irw.fetch("morales_2025_ehealth_much")

How to cite

@misc{https://doi.org/10.5281/zenodo.15328068,
  doi = {10.5281/ZENODO.15328068},
  url = {https://zenodo.org/doi/10.5281/zenodo.15328068},
  author = {Morales, Juan and Eguia, César A.},
  title = {Alfabetización en eSalud en usuarios de servicios de salud: Construcción y validación de un instrumento de medición},
  publisher = {Zenodo},
  year = {2025},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_6 v5.11
Redivis dataset DOI10.57761/qahq-j855
Manifest pin for this IRW versionv5.11
Metadata sourceirw_meta v44.0