2,919 responses from 417 respondents to 7 items.
| Description | Fear of COVID-19 Scale (FCV-19S), Japanese nurses caring for COVID-19 patients |
|---|---|
| Reference | Odachi R, Takahashi S, Sugawara D, Tabata M, Kajiwara T, Hironishi M, Buyo M (2022). The Big Five personality traits and the fear of COVID-19 in predicting depression and anxiety among Japanese nurses caring for COVID-19 patients: A cross-sectional study in Wakayama prefecture. PLOS ONE, 17(10), e0276803. https://doi.org/10.1371/journal.pone.0276803 |
| DOI | 10.1371/journal.pone.0276803 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0276803.s001 |
| Responses | 2,919 |
|---|---|
| Respondents | 417 |
| Items | 7 |
| Response categories | 5 |
| Responses per respondent | 7 |
| Responses per item | 417 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Workplace |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | jpn |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Fear of COVID-19 Scale (FCV-19S), Japanese version |
|---|---|
| Mean words per item | 9.714 |
| Mean characters per item | 62.429 |
| Mean characters per response | 6.600 |
| Flesch-Kincaid grade level | 9.829 |
cov_agecov_sexiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("odachi_2022_fear_covid19")
# Python
pip install irw
import irw
df = irw.fetch("odachi_2022_fear_covid19")
| 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 |