3,348 responses from 558 respondents to 6 items.
| Description | Digital Transformation Stress Scale (6 items, the paper's focal instrument), Polish workplace sample, N=558 |
|---|---|
| Reference | Makowska-Tłomak E, Bedyńska S, Skorupska K, Nielek R, Kornacka M, Kopeć W (2023). Measuring digital transformation stress at the workplace-Development and validation of the digital transformation stress scale. PLOS ONE, 18(10), e0287223. https://doi.org/10.1371/journal.pone.0287223 |
| DOI | 10.1371/journal.pone.0287223 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0287223.s003 |
| Responses | 3,348 |
|---|---|
| Respondents | 558 |
| Items | 6 |
| Response categories | 5 |
| Responses per respondent | 6 |
| Responses per item | 558 |
| Density | 1 |
| Longitudinal | FALSE |
| measurement tool | Survey/questionnaire |
|---|---|
| item format | Likert Scale/selected response |
| primary language(s) | pol |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Digital Transformation Stress Scale (DTSS) |
|---|---|
| Mean words per item | 21.167 |
| Mean characters per item | 125.167 |
| Mean characters per response | 6 |
| Flesch-Kincaid grade level | 10.490 |
cov_birth_yearcov_educationcov_gendercov_job_positioncov_remote_workcov_seniorityiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("makowska_2023_pdts")
# Python
pip install irw
import irw
df = irw.fetch("makowska_2023_pdts")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |