1,799 responses from 100 respondents to 18 items.
| Description | Hamilton Depression Rating Scale, type 2 diabetes patients, 18 items, N=100 |
|---|---|
| Reference | Kokoszka, A., et al. (2022). Body self-esteem is related to subjective well-being, severity of depressive symptoms, BMI, glycated hemoglobin levels, and diabetes-related distress in type 2 diabetes. PLOS ONE. |
| DOI | 10.1371/journal.pone.0263766 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0263766 |
| Responses | 1,799 |
|---|---|
| Respondents | 100 |
| Items | 18 |
| Response categories | 5 |
| Responses per respondent | 17.990 |
| Responses per item | 99.944 |
| Density | 0.999 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Clinical |
| measurement tool | Observational rating |
| item format | Likert Scale/selected response |
| primary language(s) | pol |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Hamilton Depression Rating Scale, 17-item version (HDRS-17 / HAM-D) |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 44.676 |
| Flesch-Kincaid grade level | -3.400 |
cov_agecov_groupiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("kokoszka_2022_hamd")
# Python
pip install irw
import irw
df = irw.fetch("kokoszka_2022_hamd")
| 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 |