49,598 responses from 256 respondents to 9 items.
| Description | Participants rated 9 depression-related symptoms daily via digital self-report during treatment. |
|---|---|
| Reference | Schumacher, L., Klein, J. P., Elsaesser, M., Härter, M., Hautzinger, M., Schramm, E., & Kriston, L. (2023). Implications of the network theory for the treatment of mental disorders: a secondary analysis of a randomized clinical trial. JAMA psychiatry, 80(11), 1160-1168. |
| DOI | 10.1001/jamapsychiatry.2023.2823 |
| Licence | CC BY-NC-SA 4.0 |
| Source data | https://osf.io/fhqmk/ |
| Responses | 49,598 |
|---|---|
| Respondents | 256 |
| Items | 9 |
| Response categories | 2 |
| Responses per respondent | 193.742 |
| Responses per item | 5510.889 |
| Density | 21.527 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Clinical |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Slider/continuous |
| primary language(s) | eng |
| construct name | Depression Symptom Dynamics |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Participants rated 9 depression-related symptoms daily via digital self-report during treatment. |
|---|---|
| Mean words per item | 2.444 |
| Mean characters per item | 25.556 |
| Mean characters per response | 25 |
| Flesch-Kincaid grade level | 13.859 |
iditemresptreatwave
Licence: CC BY-NC-SA 4.0 — non-commercial use only; adaptations must be shared under the same licence.
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_101")
# Python
pip install irw
import irw
df = irw.fetch("gilbert_meta_101")
| 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 |