1,699 responses from 170 respondents to 10 items.
One of 2 tables from the same source; this one measures Resilience (CD-RISC-10). The others are listed under Related tables.
| Description | Connor-Davidson Resilience Scale, 10-item (CD-RISC-10), 10 items, 0-4, 170 adult cancer patients at Bhaktapur Cancer Hospital, Nepal; cov_ses (Modified Kuppuswamy socio-economic score). |
|---|---|
| Reference | Panth, S., Panta, S., Cadel, S., et al. (2026). A cross-sectional study on illness perception and resiliency among cancer patients, in Bhaktapur cancer hospital. PLOS ONE, e0356524. |
| DOI | 10.1371/journal.pone.0356524 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0356524 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 1,699 |
|---|---|
| Respondents | 170 |
| Items | 10 |
| Response categories | 5 |
| Responses per respondent | 9.994 |
| Responses per item | 169.900 |
| Density | 0.999 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Clinical |
| construct type | Personality |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | nep |
| construct name | Resilience (CD-RISC-10) |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, panth_2026_cancer_resilience.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). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_ses | Covariate | Total SE |
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 (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("panth_2026_cdrisc10")
# Python
pip install irw
import irw
df = irw.fetch("panth_2026_cdrisc10")
@article{Panth_2026, title={A cross-sectional study on illness perception and resiliency among cancer patients, in Bhaktapur cancer hospital}, volume={21}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0356524}, DOI={10.1371/journal.pone.0356524}, number={9}, journal={PLOS One}, publisher={Public Library of Science (PLoS)}, author={Panth, Pooja and Panta, Abaru and Cadel, Kabita Raj and Baniya, Prajwol}, editor={Sheikh, Taslima}, year={2026}, month=Sept, pages={e0356524} }
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |