lorenz_2016_resilience

4,173 responses from 321 respondents to 13 items.

One of 7 tables from the same source; this one is the resilience table. The others are listed under Related tables.

About this table

DescriptionCD-RISC-13 resilience items (Study 1) from the CPC-12 validation
ReferenceLorenz T, Beer C, Pütz J, Heinitz K (2016). Measuring Psychological Capital: Construction and Validation of the Compound PsyCap Scale (CPC-12). PLOS ONE, 11(4), e0152892. https://doi.org/10.1371/journal.pone.0152892
DOI10.1371/journal.pone.0152892
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0152892.s002

Size and shape

Responses4,173
Respondents321
Items13
Response categories6
Responses per respondent13
Responses per item321
Density1
LongitudinalFALSE

Classification

sampleInternet-based
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, lorenz_2016_psycap.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).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script

What item codes and covariate values stand for is in the source’s questionnaire, S1_Appendix.pdf, which shows the item wording.

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("lorenz_2016_resilience")
# Python
pip install irw

import irw
df = irw.fetch("lorenz_2016_resilience")

How to cite

@article{Lorenz_2016, title={Measuring Psychological Capital: Construction and Validation of the Compound PsyCap Scale (CPC-12)}, volume={11}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0152892}, DOI={10.1371/journal.pone.0152892}, number={4}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Lorenz, Timo and Beer, Clemens and Pütz, Jan and Heinitz, Kathrin}, editor={Cipresso, Pietro}, year={2016}, month=Apr, pages={e0152892} }

Version and provenance

IRW versionv557
Redivis datasetitem_response_warehouse_3 v13.0
Redivis dataset DOI10.57761/gpg7-sg87
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v40.0