altahla_2024_swls

945 responses from 189 respondents to 5 items.

About this table

DescriptionSatisfaction with Life Scale (SWLS), 5 items, 1-7 scale, N=189 traumatic/nontraumatic chronic spinal cord injury and healthy individuals in China, with demographic/injury covariates
ReferenceAltahla 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.
DOI10.7717/peerj.18709
LicenceCC BY 4.0
Source datahttps://peerj.com/articles/18709/

Size and shape

Responses945
Respondents189
Items5
Response categories7
Responses per respondent5
Responses per item189
Density1
LongitudinalFALSE

Classification

sampleClinical
measurement toolSurvey/questionnaire
item formatLikert 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.

InstrumentSatisfaction with Life Scale (SWLS)
Mean words per item9.400
Mean characters per item45.800
Mean characters per response14.429
Flesch-Kincaid grade level3.140

Columns

cov_age_at_injurycov_age_groupcov_ais_severitycov_educationcov_employedcov_gendercov_injury_causecov_injury_durationcov_injury_levelcov_injury_statecov_injury_typecov_marriedcov_paralysis_typeiditemresp

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("altahla_2024_swls")
# Python
pip install irw

import irw
df = irw.fetch("altahla_2024_swls")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_2 v19.0
Redivis dataset DOI10.57761/qtx5-4m80
Manifest pin for this IRW versionv19.0
Metadata sourceirw_meta v23.0