4,389 responses from 209 respondents to 21 items.
| Description | DASS-21 data from medical graduates in Bangladesh (online cross-sectional survey) |
|---|---|
| Reference | Orthi, Samia Ullah, 2022, "Depression, anxiety and stress among the medical graduates in Bangladesh: An online-based cross- sectional survey", https://doi.org/10.7910/DVN/NZ7VFL, Harvard Dataverse, V1, UNF:6:CsX/u7vq/niOY2K980WHfw== [fileUNF] |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/NZ7VFL |
| Responses | 4,389 |
|---|---|
| Respondents | 209 |
| Items | 21 |
| Response categories | 4 |
| Responses per respondent | 21 |
| Responses per item | 209 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ben |
| construct name | DASS-21 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("dass21_medical_graduates_bangladesh")
# Python
pip install irw
import irw
df = irw.fetch("dass21_medical_graduates_bangladesh")
| 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 |