chen_2026_technostress

12,000 responses from 800 respondents to 15 items.

One of 5 tables from the same source; this one measures Technostress (digital textbooks). The others are listed under Related tables.

About this table

DescriptionTechnostress, 15 items (techno-overload, invasion, complexity, insecurity, uncertainty) about digital textbooks, 1 非常不同意 - 7 非常同意; N = 800 Chinese higher-vocational teachers; cov_gender, cov_teaching_years, cov_school_type, cov_title, cov_education, cov_discipline, cov_region.
ReferenceChen, J. (2026). Technostress and Digital Textbook Adoption Among Higher Vocational Teachers: The Mediating Roles of Work Engagement and Burnout With the Moderating Role of Organizational Support. figshare. https://doi.org/10.6084/m9.figshare.31968699
LicenceCC BY 4.0
Source datahttps://figshare.com/articles/dataset/_b_Technostress_and_Digital_Textbook_Adoption_Among_Higher_Vocational_Teachers_The_Mediating_Roles_of_Work_Engagement_and_Burnout_With_the_Moderating_Role_of_Organizational_Support_b_/31968699

Size and shape

Responses12,000
Respondents800
Items15
Response categories7
Responses per respondent15
Responses per item800
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational, Workplace
construct typeAffective/mental health
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)chi
construct nameTechnostress (digital textbooks)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, chen_2026_technostress_burnout.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_disciplineCovariate Q6
cov_educationCovariate Q5
cov_genderCovariate Q1
cov_regionCovariate Q7
cov_school_typeCovariate Q3
cov_teaching_yearsCovariate Q2
cov_titleCovariate Q4

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("chen_2026_technostress")
# Python
pip install irw

import irw
df = irw.fetch("chen_2026_technostress")

How to cite

@misc{https://doi.org/10.6084/m9.figshare.31968699,
  doi = {10.6084/M9.FIGSHARE.31968699},
  url = {https://figshare.com/articles/dataset/_b_Technostress_and_Digital_Textbook_Adoption_Among_Higher_Vocational_Teachers_The_Mediating_Roles_of_Work_Engagement_and_Burnout_With_the_Moderating_Role_of_Organizational_Support_b_/31968699},
  author = {Chen, Jiuke},
  keywords = {Educational technology and computing},
  title = {<b>Technostress and Digital Textbook Adoption Among Higher Vocational Teachers: The Mediating Roles of Work Engagement and Burnout With the Moderating Role of Organizational Support</b>},
  publisher = {figshare},
  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