4,354 responses from 631 respondents to 7 items.
| Description | Insomnia Severity Index (ISI, 7 items), Swedish university students, N=631 |
|---|---|
| Reference | Hellstrom A, Hagell P, Brostrom A, Ulander M, Luik AI, Espie CA, Arestedt K (2019). A classical test theory evaluation of the Sleep Condition Indicator accounting for the ordinal nature of item response data. PLOS ONE, 14(3), e0213533. https://doi.org/10.1371/journal.pone.0213533 |
| DOI | 10.1371/journal.pone.0213533 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0213533.s001 |
| Responses | 4,354 |
|---|---|
| Respondents | 631 |
| Items | 7 |
| Response categories | 5 |
| Responses per respondent | 6.900 |
| Responses per item | 622 |
| Density | 0.986 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | swe |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Insomnia Severity Index (ISI) |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 8.371 |
| Flesch-Kincaid grade level | -3.400 |
cov_agecov_programmecov_sexiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("hellstrom_2019_isi")
# Python
pip install irw
import irw
df = irw.fetch("hellstrom_2019_isi")
| 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 |