8,871 responses from 317 respondents to 28 items.
| Description | Brief COPE (28 items), Nepali nursing students, N=317 |
|---|---|
| Reference | Koirala S, Thapa RD, Bhandari S, Rijal A, Thakuri BS, Gauro P (2024). Perceived stress and coping strategies among nursing students towards rejoining college after covid-19 pandemic. PLOS ONE, 19(8), e0305588. https://doi.org/10.1371/journal.pone.0305588 |
| DOI | 10.1371/journal.pone.0305588 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0305588.s001 |
| Responses | 8,871 |
|---|---|
| Respondents | 317 |
| Items | 28 |
| Response categories | 4 |
| Responses per respondent | 27.984 |
| Responses per item | 316.821 |
| Density | 0.999 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Brief COPE (Carver, 1997) |
|---|---|
| Mean words per item | 10.107 |
| Mean characters per item | 56.607 |
| Mean characters per response | 21 |
| Flesch-Kincaid grade level | 5.661 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("koirala_2024_brief_cope")
# Python
pip install irw
import irw
df = irw.fetch("koirala_2024_brief_cope")
| 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 |