12,348 responses from 196 respondents to 21 items.
| Description | Depression Anxiety Stress Scales-21 (21 items, 0-4), pre/post/3-month follow-up, N=196. |
|---|---|
| Reference | Shi K, Feng G, Ye M, Bi X, Cui H, Chen W, Gao T, Qing Z, Ma Y (2025). Evaluating the effectiveness of mindfulness-based interventions on rumination and negative emotions in Chinese University Students: A randomized controlled trial. PLOS ONE 20(x):e0331084. |
| DOI | 10.1371/journal.pone.0331084 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0331084 |
| Responses | 12,348 |
|---|---|
| Respondents | 196 |
| Items | 21 |
| Response categories | 5 |
| Responses per respondent | 63 |
| Responses per item | 588 |
| Density | 3 |
| Longitudinal | TRUE |
| sample | Educational, Program-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Depression Anxiety Stress Scales - 21 (DASS-21), simplified Chinese version (Wen et al., 2012) |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 2 |
| Flesch-Kincaid grade level | -3.400 |
cov_groupiditemrespwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("shi_2025_dass21")
# Python
pip install irw
import irw
df = irw.fetch("shi_2025_dass21")
| 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 |