29,297 responses from 2,447 respondents to 12 items.
One of 3 tables from the same source; this one is the cses table. The others are listed under Related tables.
| Description | Core Self-Evaluations Scale (12 items, 1-5) from the same German general population sample of 2,447 adults. |
|---|---|
| Reference | Coroiu A, Kwakkenbos L, Moran C, Thombs B, Albani C, Bourkas S, et al. (2018). Structural validation of the Self-Compassion Scale with a German general population sample. PLOS ONE 13(2): e0190771. |
| DOI | 10.1371/journal.pone.0190771 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0190771 |
| Responses | 29,297 |
|---|---|
| Respondents | 2,447 |
| Items | 12 |
| Response categories | 5 |
| Responses per respondent | 11.973 |
| Responses per item | 2441.417 |
| Density | 0.998 |
| Longitudinal | FALSE |
| measurement tool | Survey/questionnaire |
|---|---|
| item format | Likert Scale/selected response |
| primary language(s) | ger |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, coroiu_2018_scs.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 |
| Respondent covariates | ||
cov_age | Covariate | s4_age |
cov_education | Covariate | s8_educat |
cov_employment | Covariate | s6_employmt |
cov_gad2_nervous | Covariate | q301 |
cov_gad2_worry | Covariate | q302 |
cov_marital_status | Covariate | s5_relation |
cov_sex | Covariate | s2_sex |
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("coroiu_2018_cses")
# Python
pip install irw
import irw
df = irw.fetch("coroiu_2018_cses")
@article{Coroiu_2018, title={Structural validation of the Self-Compassion Scale with a German general population sample}, volume={13}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0190771}, DOI={10.1371/journal.pone.0190771}, number={2}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Coroiu, Adina and Kwakkenbos, Linda and Moran, Chelsea and Thombs, Brett and Albani, Cornelia and Bourkas, Sophia and Zenger, Markus and Brahler, Elmar and Körner, Annett}, editor={Tran, Ulrich S}, year={2018}, month=Feb, pages={e0190771} }
| IRW version | v549 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.10 |
| Redivis dataset DOI | 10.57761/8zbf-t397 |
| Manifest pin for this IRW version | v5.10 |
| Metadata source | irw_meta v39.0 |