22,490 responses from 2,502 respondents to 9 items.
| Description | Symptom-Checklist-K-9 (SCL-K-9, 9 items, 0-4), N=2502, representative German general-population sample. |
|---|---|
| Reference | Petrowski K, Schmalbach B, Kliem S, Hinz A, Brahler E (2019). Symptom-Checklist-K-9: Norm values and factorial structure in a representative German sample. PLOS ONE 14(4):e0213490. |
| DOI | 10.1371/journal.pone.0213490 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0213490 |
| Responses | 22,490 |
|---|---|
| Respondents | 2,502 |
| Items | 9 |
| Response categories | 5 |
| Responses per respondent | 8.989 |
| Responses per item | 2498.889 |
| Density | 0.999 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ger |
cov_agecov_sexiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("petrowski_2019_sclk9")
# Python
pip install irw
import irw
df = irw.fetch("petrowski_2019_sclk9")
| 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 |