7,920 responses from 495 respondents to 16 items.
| Description | Quick Inventory of Depressive Symptomatology - self-report version (QIDS-SR) |
|---|---|
| Reference | McNally, R. J., Mair, P., Mugno, B. L., and Riemann, B. C. (2017). Comorbid obsessive-compulsive disorder and depression: A Bayesian network approach. Psychological Medicine, 47(7), 1204- 1214. |
| DOI | 10.1017/S0033291716003287 |
| Licence | GPL-2.0 |
| Source data | https://cran.r-project.org/web/packages/MPsychoR/index.html |
| Responses | 7,920 |
|---|---|
| Respondents | 495 |
| Items | 16 |
| Response categories | 4 |
| Responses per respondent | 16 |
| Responses per item | 495 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| sample | Clinical |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Quick Inventory of Depressive Symptomatology - self-report version (QIDS-SR) |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Quick Inventory of Depressive Symptomatology - self-report version (QIDS-SR) |
|---|---|
| Mean words per item | 3.375 |
| Mean characters per item | 21.438 |
| Mean characters per response | 59.562 |
| Flesch-Kincaid grade level | 5.517 |
cov_sampleiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("mpsycho_rogers_depression")
# Python
pip install irw
import irw
df = irw.fetch("mpsycho_rogers_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 |