aznar_diaz_2026_digital_competence

44,489 responses from 2,617 respondents to 17 items.

About this table

DescriptionDigital competence self-assessment, 17 items in five DigCompEdu-style areas (professional engagement, digital resources, digital pedagogy, assessment and feedback, empowering learners), 0-4; N = 2,617 undergraduates at eight Andalusian universities; cov_gender, cov_age, cov_year, cov_university.
ReferenceAznar Díaz, I. (2026). Base de datos de competencia digital. Zenodo. https://doi.org/10.5281/zenodo.18988671
LicenceCC BY 4.0
Source datahttps://zenodo.org/records/18988671

Size and shape

Responses44,489
Respondents2,617
Items17
Response categories5
Responses per respondent17
Responses per item2,617
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
construct typeCognitive/educational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)spa
construct nameDigital competence (DigCompEdu-based self-assessment)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, aznar_diaz_2026_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_genderCovariate Sexo
cov_universityCovariate Universidad
cov_yearCovariate Curso

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("aznar_diaz_2026_digital_competence")
# Python
pip install irw

import irw
df = irw.fetch("aznar_diaz_2026_digital_competence")

How to cite

@misc{https://doi.org/10.5281/zenodo.18988671,
  doi = {10.5281/ZENODO.18988671},
  url = {https://zenodo.org/doi/10.5281/zenodo.18988671},
  author = {AZNAR DIAZ, INMACULADA},
  title = {BASE DE DATOS DE COMPETENCIA DIGITAL},
  publisher = {Zenodo},
  year = {2026},
  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