dalky_2020_sf36

18,305 responses from 523 respondents to 35 items.

About this table

DescriptionSF-36 Health Survey raw items (35 items across 8 subscales + health-transition item), Syrian refugee women
ReferenceNabolsi et al. (2020). The health-related quality of life of Syrian refugee women in their reproductive age. PeerJ.
DOI10.7717/peerj.9990
LicenceCC BY 4.0
Source datahttps://europepmc.org/article/PMC/PMC7519719

Size and shape

Responses18,305
Respondents523
Items35
Response categories6
Responses per respondent35
Responses per item523
Density1
LongitudinalFALSE

Classification

age rangeMixed
child age (for child-focused studies)Adolescent (12-18y)
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ara

Item text

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

InstrumentSF-36 Health Survey (Arabic version)
Mean words per item1
Mean characters per item2
Mean characters per response15.521
Flesch-Kincaid grade level-3.400

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, dalky_2020_sf36.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).Respondent_Serial
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate mothers_age

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

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

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("dalky_2020_sf36")
# Python
pip install irw

import irw
df = irw.fetch("dalky_2020_sf36")

How to cite

@article{Nabolsi_2020, title={The health-related quality of life of Syrian refugee women in their reproductive age}, volume={8}, ISSN={2167-8359}, url={http://dx.doi.org/10.7717/peerj.9990}, DOI={10.7717/peerj.9990}, journal={PeerJ}, publisher={PeerJ}, author={Nabolsi, Manar and Safadi, Reema and Sun, Carolyn and Ahmad, Muayyad and Al-Maharma, Du’a and Halasa, Suhaila and Saleh, Mohammad and Dohrn, Jennifer}, year={2020}, month=Sept, pages={e9990} }

Version and provenance

IRW versionv557
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v40.0