13,260 responses from 780 respondents to 17 items.
| Description | 17-item PTSD Checklist (PCL-17, 1-5 scale), from a survey of N=780 French hospital workers during the first COVID-19 wave. |
|---|---|
| Reference | d'Ussel M, Fels A, Durand X, Lemogne C, Chatellier G, Castreau N, Adam F (2022) Factors associated with psychological symptoms in hospital workers of a French hospital during the COVID-19 pandemic: Lessons from the first wave. PLoS ONE. |
| DOI | 10.1371/journal.pone.0267032 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0267032.s003 |
| Responses | 13,260 |
|---|---|
| Respondents | 780 |
| Items | 17 |
| Response categories | 5 |
| Responses per respondent | 17 |
| Responses per item | 780 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Workplace |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | fre |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | PTSD Checklist (PCL), 17-item DSM-IV version |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 10.400 |
| Flesch-Kincaid grade level | -3.400 |
cov_agecov_gendercov_professioncov_work_locationiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("dussel_2022_pcl17")
# Python
pip install irw
import irw
df = irw.fetch("dussel_2022_pcl17")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |