ojelabi_2019_sf36

7,199 responses from 200 respondents to 36 items.

About this table

DescriptionSF-36 raw items (36 items), sickle cell disease patients, N=200
ReferenceOjelabi AO, Bamgboye AE, Ling J (2019). Preference-based measure of health-related quality of life and its determinants in sickle cell disease in Nigeria. PLOS ONE, 14(10), e0223043. https://doi.org/10.1371/journal.pone.0223043
DOI10.1371/journal.pone.0223043
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0223043.s001

Size and shape

Responses7,199
Respondents200
Items36
Response categories6
Responses per respondent35.995
Responses per item199.972
Density1.000
LongitudinalFALSE

Classification

sampleClinical
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.

InstrumentRAND 36-Item Health Survey 1.0 / MOS 36-Item Short Form Survey (SF-36), version 1
Mean words per item9.443
Mean characters per item52.262
Mean characters per response15.121
Flesch-Kincaid grade level5.218

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("ojelabi_2019_sf36")
# Python
pip install irw

import irw
df = irw.fetch("ojelabi_2019_sf36")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0