altahla_2024_whoqol

10,712 responses from 412 respondents to 26 items.

About this table

Description	26-item WHOQOL-BREF quality-of-life scale (1-5 Likert), combined spinal-cord-injury (n=189) and healthy comparison (n=223) samples, China
Reference	Altahla R, Alshorman J, Ali-Shah SZ, Nasb M, Tao X (2024). Quality of life and subjective well-being comparison between traumatic, nontraumatic chronic spinal cord injury, and healthy individuals in China. PeerJ.
DOI	10.7717/peerj.18709
Licence	CC BY 4.0
Source data	https://europepmc.org/article/PMC/PMC11670754

Size and shape

Responses	10,712
Respondents	412
Items	26
Response categories	5
Responses per respondent	26
Responses per item	412
Density	1
Longitudinal	FALSE

Classification

sample	Clinical
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	chi

Item text

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

Instrument	WHOQOL-BREF (World Health Organization Quality of Life - Brief)
Mean words per item	9.577
Mean characters per item	52.769
Mean characters per response	13.023
Flesch-Kincaid grade level	5.584

Columns

cov_agecov_age_at_injurycov_educationcov_employeecov_gendercov_groupcov_injury_causecov_injury_durationcov_injury_levelcov_injury_severitycov_injury_statecov_injury_typecov_marriedcov_paralysis_typeiditemresp

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant 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("altahla_2024_whoqol")

# Python
pip install irw

import irw
df = irw.fetch("altahla_2024_whoqol")

Version and provenance

IRW version	v393
Redivis dataset	item_response_warehouse_4 v7.0
Redivis dataset DOI	10.57761/cpj5-vm97
Manifest pin for this IRW version	v7.0
Metadata source	irw_meta v23.0