2,263 responses from 324 respondents to 7 items.
| Description | DASS-21 depression subscale from a Chinese adolescent gaming and mental health study (N=324, 7 items, 0-3). |
|---|---|
| Reference | Wang, Y. et al. (2022). Anxiety, depression, and stress are associated with internet gaming disorder during COVID-19 [Dataset]. figshare. https://doi.org/10.3389/fpsyt.2022.827519 |
| DOI | 10.3389/fpsyt.2022.827519 |
| Licence | CC BY 4.0 |
| Source data | https://figshare.com/articles/dataset/19158812 |
| Responses | 2,263 |
|---|---|
| Respondents | 324 |
| Items | 7 |
| Response categories | 4 |
| Responses per respondent | 6.985 |
| Responses per item | 323.286 |
| Density | 0.998 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
cov_agecov_ethnicitycov_gendercov_gradeiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("wang2022_dass_depression")
# Python
pip install irw
import irw
df = irw.fetch("wang2022_dass_depression")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |