161,602 responses from 9,506 respondents to 17 items.
One of 4 tables from the same source; this one measures Life events checklist for DSM-5 (LEC-5). The others are listed under Related tables.
| Description | Item-response level data from the Life Events Checklist for DSM-5 (LEC-5), administered to the same four Chinese samples, measuring lifetime exposure to potentially traumatic events |
|---|---|
| Reference | Xiong, X., Zhan, N., Zou, J., Xu, F., & Geng, F. (2025). Factor structure, measurement invariance, and psychometric properties of the brief version of difficulties in emotion regulation scale (DERS-16) across four Chinese samples. Personality and Individual Differences, 246, 113343. https://doi.org/10.1016/j.paid.2025.113343 |
| DOI | 10.1016/j.paid.2025.113343 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/wg568/files/osfstorage?view_only=3b9ee6f978a648deb17d81d244d6c158 |
| Responses | 161,602 |
|---|---|
| Respondents | 9,506 |
| Items | 17 |
| Response categories | 2 |
| Responses per respondent | 17 |
| Responses per item | 9,506 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Child (6-12y), Adolescent (12-18y) |
| sample | Educational, Targeted/specific |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
| construct name | Life events checklist for DSM-5 (LEC-5) |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Life Events Checklist for DSM-5 (LEC-5) |
|---|---|
| Mean words per item | 8.824 |
| Mean characters per item | 60.235 |
| Mean characters per response | 2 |
| Flesch-Kincaid grade level | 10.565 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, ders16_xiong_2025.R. 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). | made in the build script |
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 | age |
cov_gender | Covariate | 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("lec5_xiong_2025")
# Python
pip install irw
import irw
df = irw.fetch("lec5_xiong_2025")
@article{Xiong_2025, title={Factor structure, measurement invariance, and psychometric properties of the brief version of difficulties in emotion regulation scale (DERS-16) across four Chinese samples}, volume={246}, ISSN={0191-8869}, url={http://dx.doi.org/10.1016/j.paid.2025.113343}, DOI={10.1016/j.paid.2025.113343}, journal={Personality and Individual Differences}, publisher={Elsevier BV}, author={Xiong, Xiaoyan and Zhan, Nalan and Zou, Jiaqi and Xu, Fenfen and Geng, Fulei}, year={2025}, month=nov, pages={113343} }
| IRW version | v566 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v33.0 |
| Redivis dataset DOI | 10.57761/6m04-m698 |
| Manifest pin for this IRW version | v33.0 |
| Metadata source | irw_meta v43.0 |