rosetti2023_gad7
3,276 responses from 468 respondents to 7 items.
About this table
| Description | GAD-7 general anxiety scale, 7 items, 0-3 Likert, N=468 (subsample of Climate Anxiety Data Base) |
|---|
| Reference | Rosetti, M., & Ramírez, A. S. (2023). Climate Anxiety Data Base. figshare. |
|---|
| Licence | CC BY 4.0 |
|---|
| Source data | https://figshare.com/articles/dataset/Climate_Anxiety_Data_Base/16900393 |
|---|
Size and shape
| Responses | 3,276 |
|---|
| Respondents | 468 |
|---|
| Items | 7 |
|---|
| Response categories | 4 |
|---|
| Responses per respondent | 7 |
|---|
| Responses per item | 468 |
|---|
| Density | 1 |
|---|
| Longitudinal | FALSE |
|---|
Classification
| age range | Adult (18+) |
|---|
| measurement tool | Survey/questionnaire |
|---|
| item format | Likert Scale/selected response |
|---|
| primary language(s) | spa |
|---|
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Generalized Anxiety Disorder 7-item scale (GAD-7) |
|---|
| Mean words per item | 1 |
|---|
| Mean characters per item | 2 |
|---|
| Mean characters per response | 15.250 |
|---|
| Flesch-Kincaid grade level | -3.400 |
|---|
Columns
cov_agecov_gendercov_news_timecov_social_net_timeiditemresp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("rosetti2023_gad7")
# Python
pip install irw
import irw
df = irw.fetch("rosetti2023_gad7")
Version and provenance
| 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 |
|---|