32,940 responses from 1,647 respondents to 20 items.
| Description | Zung Self-Rating Anxiety Scale (SAS-20) among COVID-19-era healthcare workers; 20 items 1-4 scale; N=1647 merged across 5 hospitals |
|---|---|
| Reference | Shen M., Xu H., Fu J., Wang T., Fu Z., Zhao X., Zhou G., Jin Q., Tong G. (2020). Investigation of anxiety levels of 1637 healthcare workers during the epidemic of COVID-19. PLOS ONE. https://doi.org/10.1371/journal.pone.0243890 |
| DOI | 10.1371/journal.pone.0243890 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0243890.s001 |
| Responses | 32,940 |
|---|---|
| Respondents | 1,647 |
| Items | 20 |
| Response categories | 4 |
| Responses per respondent | 20 |
| Responses per item | 1,647 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Workplace |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
cov_hospitaliditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("shen_2020_sas20")
# Python
pip install irw
import irw
df = irw.fetch("shen_2020_sas20")
| 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 |