2,152 responses from 359 respondents to 6 items.
| Description | State-Trait Anxiety Inventory short form (STAI-6, 6 items), non-Japanese residents in Japan during COVID-19 |
|---|---|
| Reference | Luu MN, Imoto A, Matsuo Y, et al. (2024). Anxiety and its risk factors among non-Japanese residents living in Japan undergoing COVID-19 situation: A cross-sectional survey. PLOS ONE, 19(3), e0280144. https://doi.org/10.1371/journal.pone.0280144 |
| DOI | 10.1371/journal.pone.0280144 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0280144.s003 |
| Responses | 2,152 |
|---|---|
| Respondents | 359 |
| Items | 6 |
| Response categories | 4 |
| Responses per respondent | 5.994 |
| Responses per item | 358.667 |
| Density | 0.999 |
| Longitudinal | FALSE |
| measurement tool | Survey/questionnaire |
|---|---|
| item format | Likert Scale/selected response |
cov_age_groupcov_gendercov_living_locationcov_marital_statusiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("luu_2024_stai6")
# Python
pip install irw
import irw
df = irw.fetch("luu_2024_stai6")
| 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 |