6,424 responses from 292 respondents to 22 items.
One of 2 tables from the same source; this one measures Technostress (22 items). The others are listed under Related tables.
| Description | Technostress, 22 items (0-6); N = 292 Peruvian university faculty after the authors' careless-response screen; cov_sex, cov_age. |
|---|---|
| Reference | Arbulú Castillo, J. C., Arbulú, M., & Saavedra Torres, I. (2026). Digital Competence as a Personal Resource Against Technostress Among Peruvian University Faculty [data]. figshare. https://doi.org/10.6084/m9.figshare.33716161 |
| Licence | CC BY 4.0 |
| Source data | https://figshare.com/articles/dataset/Digital_Competence_as_a_Personal_Resource_Against_Technostress_Among_Peruvian_University_Faculty_A_Latent-Variable_Study_with_Age-Group_Differences/33716161 |
| Responses | 6,424 |
|---|---|
| Respondents | 292 |
| Items | 22 |
| Response categories | 7 |
| Responses per respondent | 22 |
| Responses per item | 292 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Workplace |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | spa |
| construct name | Technostress (22 items) |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, arbulu_2026_technostress.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.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW 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 |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | made in the build script |
cov_sex | Covariate | made in the build script |
What item codes and covariate values stand for is in the codebook released with the source data.
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("arbulu_2026_technostress")
# Python
pip install irw
import irw
df = irw.fetch("arbulu_2026_technostress")
@misc{https://doi.org/10.6084/m9.figshare.33716161,
doi = {10.6084/M9.FIGSHARE.33716161},
url = {https://figshare.com/articles/dataset/Digital_Competence_as_a_Personal_Resource_Against_Technostress_Among_Peruvian_University_Faculty_A_Latent-Variable_Study_with_Age-Group_Differences/33716161},
author = {Arbulú Castillo, Julie Catherine and Arbulú, Marco and Saavedra Torres, Isaac and Aguilar Castillo, Susy del Pilar},
keywords = {Higher education, Professional education and training},
title = {Digital Competence as a Personal Resource Against Technostress Among Peruvian University Faculty: A Latent-Variable Study with Age-Group Differences},
publisher = {figshare},
year = {2026},
copyright = {Creative Commons Attribution 4.0 International}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_7 v1.1 |
| Redivis dataset DOI | 10.57761/7pd3-sh31 |
| Manifest pin for this IRW version | v1.0 |
| Metadata source | irw_meta v44.0 |