ali_2021_isi

971 responses from 168 respondents to 7 items.

About this table

Description7-item Insomnia Severity Index (ISI), item-specific text anchors re-coded to a common 0-4 ordinal severity scale, from a COVID-19 mental well-being survey of nurses in Kenya (N=168).
ReferenceAli S, Shah J, Talib Z (2021) COVID-19 and mental well-being of nurses in a tertiary facility in Kenya. PLoS ONE.
DOI10.1371/journal.pone.0254074
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0254074.s001

Size and shape

Responses971
Respondents168
Items7
Response categories5
Responses per respondent5.780
Responses per item138.714
Density0.826
LongitudinalFALSE

Classification

sampleWorkplace
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentInsomnia Severity Index (ISI; Morin et al., 2011)
Mean words per item12.033
Mean characters per item80.200
Mean characters per response10.233
Flesch-Kincaid grade level8.967

Columns

cov_age_catcov_genderiditemresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("ali_2021_isi")
# Python
pip install irw

import irw
df = irw.fetch("ali_2021_isi")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_4 v7.0
Redivis dataset DOI10.57761/cpj5-vm97
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0