gutierrez_2025_pupil_digital_competence

17,262 responses from 274 respondents to 63 items.

About this table

DescriptionSelf-reported digital competence (knowledge, skills, attitudes, emotions), 63 items (1-4; item = item_01..63 from the header number); N = 274 Spanish primary pupils aged 10-13; cov_school, cov_sex, cov_age, cov_grade, cov_has_device, cov_has_internet.
ReferenceGutiérrez Molero, S., Heredia Ponce, H., & Romero Oliva, M. F. (2025). Competencia digital 5º y 6º Educación Primaria [data]. Zenodo. https://doi.org/10.5281/zenodo.15359020
LicenceCC BY 4.0
Source datahttps://zenodo.org/records/15359020

Size and shape

Responses17,262
Respondents274
Items63
Response categories4
Responses per respondent63
Responses per item274
Density1
LongitudinalFALSE

Classification

age rangeChild (<18y)
child age (for child-focused studies)Child (6-12y), Adolescent (12-18y)
sampleEducational
construct typeCognitive/educational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)spa
construct namePupil digital competence (63 items)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, gutierrez_2025_pupil_digital_competence.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).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate Edad
cov_gradeCovariate Curso
cov_has_deviceCovariate made in the build script
cov_has_internetCovariate made in the build script
cov_schoolCovariate Centro
cov_sexCovariate Sexo

What item codes and covariate values stand for is in the codebook released with the source data.

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("gutierrez_2025_pupil_digital_competence")
# Python
pip install irw

import irw
df = irw.fetch("gutierrez_2025_pupil_digital_competence")

How to cite

@misc{https://doi.org/10.5281/zenodo.15359020,
  doi = {10.5281/ZENODO.15359020},
  url = {https://zenodo.org/doi/10.5281/zenodo.15359020},
  author = {Gutiérrez Molero, Salvador and Heredia Ponce, Hugo and Romero Oliva, Manuel Francisco},
  title = {Competencia digital 5º y 6 º Educación Primaria},
  publisher = {Zenodo},
  year = {2025},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_7 v1.1
Redivis dataset DOI10.57761/7pd3-sh31
Manifest pin for this IRW versionv1.0
Metadata sourceirw_meta v44.0