3,166 responses from 317 respondents to 10 items.
One of 2 tables from the same source; this one is the pss10 table. The others are listed under Related tables.
| Description | Perceived Stress Scale-10 (10 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 | 3,166 |
|---|---|
| Respondents | 317 |
| Items | 10 |
| Response categories | 5 |
| Responses per respondent | 9.987 |
| Responses per item | 316.600 |
| Density | 0.999 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, koirala_2024_pss_bcs.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | SN |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
What item codes and covariate values stand for is in the codebook released with the source data.
Or load it directly in R or Python:
# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("koirala_2024_pss10")
# Python (needs a free Redivis account)
pip install irw
import irw
df = irw.fetch("koirala_2024_pss10")
@article{Koirala_2024, title={Perceived stress and coping strategies among nursing students towards rejoining college after covid-19 pandemic}, volume={19}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0305588}, DOI={10.1371/journal.pone.0305588}, number={8}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Koirala, Sarmila and Thapa, Rupa Devi and Bhandari, Sagun and Rijal, Alisha and Thakuri, Bhawani Shahi and Gauro, Pooja}, editor={Solanki, Hariom Kumar}, year={2024}, month=Aug, pages={e0305588} }
| IRW version | v540 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v13.0 |
| Redivis dataset DOI | 10.57761/gpg7-sg87 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v37.0 |