2,786 responses from 398 respondents to 7 items.
| Description | Generalised Anxiety Disorder scale (GAD-7) |
|---|---|
| Reference | Fournier, L., Heeren, A., Baggio, S., Clark, L., Verdejo-Garcia, A., Perales, J., & Billieux, J. (2025, August 20). Data. https://doi.org/10.17605/OSF.IO/6V5QB |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/6v5qb/files/osfstorage |
| Responses | 2,786 |
|---|---|
| Respondents | 398 |
| Items | 7 |
| Response categories | 4 |
| Responses per respondent | 7 |
| Responses per item | 398 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based |
| construct type | Behavioral, Cognitive/educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Assessment Time - Anxiety |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Generalised Anxiety Disorder scale (GAD-7) |
|---|---|
| Mean words per item | 6.429 |
| Mean characters per item | 38 |
| Mean characters per response | 15.250 |
| Flesch-Kincaid grade level | 6.846 |
cov_agecov_countrycov_genderiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("assessment_time_fournier_2025_gad")
# Python
pip install irw
import irw
df = irw.fetch("assessment_time_fournier_2025_gad")
| 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 |