beck_2021_cdrisc10

2,443 responses from 246 respondents to 10 items.

One of 4 tables from the same source; this one is the cdrisc10 table. The others are listed under Related tables.

About this table

Description10-item Connor-Davidson Resilience Scale (CD-RISC-10), 0-4 scale, same COVID-19 cohort as beck_2021_hads
ReferenceBeck K, Vincent A, Becker C, Keller A, Cam H, Schaefert R, et al. (2021) Prevalence and factors associated with psychological burden in COVID-19 patients and their relatives: A prospective observational cohort study. PLoS ONE 16(5): e0250590.
DOI10.1371/journal.pone.0250590
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0250590.s002&type=supplementary

Size and shape

Responses2,443
Respondents246
Items10
Response categories5
Responses per respondent9.931
Responses per item244.300
Density0.993
LongitudinalFALSE

Classification

sampleClinical
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ger

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, beck_2021_covid_burden.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.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).PP_id
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_roleCovariate made in the build script

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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("beck_2021_cdrisc10")
# Python
pip install irw

import irw
df = irw.fetch("beck_2021_cdrisc10")

How to cite

@article{Beck_2021, title={Prevalence and factors associated with psychological burden in COVID-19 patients and their relatives: A prospective observational cohort study}, volume={16}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0250590}, DOI={10.1371/journal.pone.0250590}, number={5}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Beck, Katharina and Vincent, Alessia and Becker, Christoph and Keller, Annalena and Cam, Hasret and Schaefert, Rainer and Reinhardt, Thomas and Sutter, Raoul and Tisljar, Kai and Bassetti, Stefano and Schuetz, Philipp and Hunziker, Sabina}, editor={van der Velden, Peter G.}, year={2021}, month=May, pages={e0250590} }

Version and provenance

IRW versionv557
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v40.0