8,070 responses from 269 respondents to 30 items.
| Description | 30-item Practice Environment Scale-Nursing Work Index (4-point Likert) among primary care nurses (N=269) |
|---|---|
| Reference | Gea-Caballero V, Juarez-Vela R, Diaz-Herrera M-A, Marmol-Lopez M-I, Alfaro Blazquez R, Martinez-Riera JR (2019). Development of a short questionnaire based on the Practice Environment Scale-Nursing Work Index in primary health care. PeerJ. |
| DOI | 10.7717/peerj.7369 |
| Licence | CC BY 4.0 |
| Source data | https://europepmc.org/article/PMC/PMC6660900 |
| Responses | 8,070 |
|---|---|
| Respondents | 269 |
| Items | 30 |
| Response categories | 4 |
| Responses per respondent | 30 |
| Responses per item | 269 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Workplace |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | spa |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("geacaballero_2019_pes_nwi")
# Python
pip install irw
import irw
df = irw.fetch("geacaballero_2019_pes_nwi")
| 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 |