14,602 responses from 2,086 respondents to 7 items.
| Description | Insomnia Severity Index (ISI-7) items from a network analysis of anxiety/depression/insomnia in elderly Chinese adults (N=2086) |
|---|---|
| Reference | Han W, Chen H, Fu M, Zhou H, Xu J, Zhao C, Lu X, Zhou H-G, Shen Z-K, Chen B (2026). Network analysis of anxiety, depression and insomnia in the elderly in Jiangsu Province. PeerJ. |
| DOI | 10.7717/peerj.20868 |
| Licence | CC BY 4.0 |
| Source data | https://europepmc.org/article/PMC/PMC13048223 |
| Responses | 14,602 |
|---|---|
| Respondents | 2,086 |
| Items | 7 |
| Response categories | 6 |
| Responses per respondent | 7 |
| Responses per item | 2,086 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Clinical |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Insomnia Severity Index (ISI-7) |
|---|---|
| Mean words per item | 7.714 |
| Mean characters per item | 46 |
| Mean characters per response | 5.314 |
| Flesch-Kincaid grade level | 4.742 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("han_2026_isi")
# Python
pip install irw
import irw
df = irw.fetch("han_2026_isi")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |