cisneros_2023_digital_competence

11,242 responses from 511 respondents to 22 items.

About this table

DescriptionTeaching digital competence self-assessment, 22 indicators in four dimensions, five ordered proficiency levels (0 no iniciado - 4 transformador); N = 511 Ecuadorian university lecturers; cov_gender, cov_years_experience, cov_age, cov_faculty, cov_employment, cov_dedication, cov_doctorate.
ReferenceCisneros Barahona, A., Márques Molías, L., & Samaniego Erazo, N. (2023). Data availability. Multivariate data analysis. Validation of an instrument for the evaluation of teaching digital competence. Zenodo. https://doi.org/10.5281/zenodo.10055380
LicenceCC BY 4.0
Source datahttps://zenodo.org/records/10055380

Size and shape

Responses11,242
Respondents511
Items22
Response categories5
Responses per respondent22
Responses per item511
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational, Workplace
construct typeCognitive/educational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)spa
construct nameTeaching digital competence (22 indicators)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, cisneros_2023_teaching_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_dedicationCovariate Tiempo_de_dedicación
cov_doctorateCovariate Grado_doctoral
cov_employmentCovariate Relación_laboral
cov_facultyCovariate Facultad
cov_genderCovariate Género
cov_years_experienceCovariate Años_de_experiencia_docente

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("cisneros_2023_digital_competence")
# Python
pip install irw

import irw
df = irw.fetch("cisneros_2023_digital_competence")

How to cite

@misc{https://doi.org/10.5281/zenodo.10055380,
  doi = {10.5281/ZENODO.10055380},
  url = {https://zenodo.org/doi/10.5281/zenodo.10055380},
  author = {Andrés Cisneros Barahona,  and Luis Márques Molías,  and NIcolay Samaniego Erazo,  and Catalina Mejía Granizo,  and Gabriela de la Cruz Fernández, },
  keywords = {Technological literacy, teacher training, educational research, university teachers, confirmatory factor análisis.},
  language = {en},
  title = {Data availability. Multivariate data analysis. Validation of an instrument for the evaluation of teaching digital competence.},
  publisher = {Zenodo},
  year = {2023},
  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