nguyen_2026_isi

2,758 responses from 394 respondents to 7 items.

About this table

DescriptionInsomnia Severity Index: 7 sleep-symptom/interference items measured 48 hours after surgery. 394 women undergoing gynecologic surgery in Hanoi, Vietnam; ages 15–77. 2,758 responses on the source 0–4 scale.
ReferenceVan Bich Nguyen (2026). Dataset for the Study "Preoperative Anxiety and Early Postoperative Recovery Among Women Undergoing Gynecologic Surgery in Vietnam" (Version 1) [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/X2C2PL
DOI10.7910/DVN/X2C2PL
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/X2C2PL&version=1.0

Size and shape

Responses2,758
Respondents394
Items7
Response categories5
Responses per respondent7
Responses per item394
Density1
LongitudinalFALSE

Classification

age rangeMixed
child age (for child-focused studies)Adolescent (12-18y)
sampleClinical
construct typeAffective/mental health
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)vie
construct nameInsomnia symptoms and interference (Insomnia Severity Index)

Columns

iditemresp

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("nguyen_2026_isi")
# Python
pip install irw

import irw
df = irw.fetch("nguyen_2026_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