80,388 responses from 1,267 respondents to 33 items.
| Description | Posttraumatic Cognitions Inventory in Chinese respondents |
|---|---|
| Reference | Zhan, N., Gao, C., Cao, Y., Li, F., & Geng, F. (2024). Factor structure, measurement invariance, and psychometric properties of the Posttraumatic Cognitions Inventory (PTCI) and its brief version (PTCI-9) in Chinese adolescents and adults. Psychological Assessment. |
| DOI | 10.1037/pas0001309 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/tj8rh/ |
| Responses | 80,388 |
|---|---|
| Respondents | 1,267 |
| Items | 33 |
| Response categories | 7 |
| Responses per respondent | 63.448 |
| Responses per item | 2,436 |
| Density | 1.923 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi, eng |
| construct name | Posttraumatic Cognitions Inventory (PTCI) |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("PTCI_Chinese_Zhan_2024")
# Python
pip install irw
import irw
df = irw.fetch("PTCI_Chinese_Zhan_2024")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |