2,424 responses from 202 respondents to 12 items.
One of 10 tables from the same source; this one measures Compound Psychological Capital Scale (CPC-12). The others are listed under Related tables.
| Description | Compound Psychological Capital Scale (CPC-12, 12 items), Study 2 second sample (S3 SI file), N=202 |
|---|---|
| Reference | Dudasova L, Prochazka J, Vaculik M, Lorenz T (2021). Measuring psychological capital: Revision of the Compound Psychological Capital Scale (CPC-12). PLOS ONE, 16(3), e0247114. https://doi.org/10.1371/journal.pone.0247114 |
| DOI | 10.1371/journal.pone.0247114 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0247114.s003 |
| Responses | 2,424 |
|---|---|
| Respondents | 202 |
| Items | 12 |
| Response categories | 6 |
| Responses per respondent | 12 |
| Responses per item | 202 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Personality |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ger |
| construct name | Compound Psychological Capital Scale (CPC-12) |
These are classifications the IRW records, not the study’s own words. Some were annotated by hand and some written by an automated tagger whose output is published only where it clears a measured accuracy bar; which values came from which is not recorded per table. Coverage and accuracy per column, and what is held back, are on Tag quality.
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Compound Psychological Capital Scale (CPC-12) |
|---|---|
| Mean words per item | 12.167 |
| Mean characters per item | 60.167 |
| Mean characters per response | 6.500 |
| Flesch-Kincaid grade level | 4.843 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, dudasova_2021_cpc12_battery.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). | ID |
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 (no account needed with irw 1.4.0 or later) or Python (needs a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("irw")
library(irw)
df <- irw_fetch("dudasova_2021_cpc12_study3")
# Python
pip install irw
import irw
df = irw.fetch("dudasova_2021_cpc12_study3")
Or in Stata, which reads the same no-account CSV as the button above:
* Stata
net install irw, from("https://raw.githubusercontent.com/itemresponsewarehouse/Stata-pkg/main/")
irw_fetch dudasova_2021_cpc12_study3, clear
@article{Dudasova_2021, title={Measuring psychological capital: Revision of the Compound Psychological Capital Scale (CPC-12)}, volume={16}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0247114}, DOI={10.1371/journal.pone.0247114}, number={3}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Dudasova, Ludmila and Prochazka, Jakub and Vaculik, Martin and Lorenz, Timo}, editor={Wang, Meng-Cheng}, year={2021}, month=Mar, pages={e0247114} }
| IRW version | v674 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v15.0 |
| Redivis dataset DOI | 10.57761/6rg4-6f73 |
| Manifest pin for this IRW version | v15.0 |
| Metadata source | irw_meta v59.0 |