3,210 responses from 321 respondents to 10 items.
| Description | First 10-item self-efficacy battery (GSE-length, Study 1) from the CPC-12 validation |
|---|---|
| Reference | Lorenz 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 |
| DOI | 10.1371/journal.pone.0152892 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0152892.s002 |
| Responses | 3,210 |
|---|---|
| Respondents | 321 |
| Items | 10 |
| Response categories | 6 |
| Responses per respondent | 10 |
| Responses per item | 321 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Internet-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ger |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Skala zur Allgemeinen Selbstwirksamkeitserwartung (SWE) / General Self-Efficacy Scale (GSE), 10 items |
|---|---|
| Mean words per item | 12.800 |
| Mean characters per item | 67.600 |
| Mean characters per response | 6.500 |
| Flesch-Kincaid grade level | 7.471 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("lorenz_2016_efficacy1")
# Python
pip install irw
import irw
df = irw.fetch("lorenz_2016_efficacy1")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |