ALSECYPIAMH_WU_2022_SWEMWBS

54,894 responses from 7,842 respondents to 7 items.

About this table

DescriptionShort Warwick-Edinburgh Mental Wellbeing Scale
ReferenceWu, Y., Yan, W., & Wu, Y. (2024, April 18). A large-scale evaluation of Chinese youth purpose and its associations with mental health. https://doi.org/10.17605/OSF.IO/JQZBX
LicenceCC BY 4.0
Source datahttps://osf.io/jqzbx/

Size and shape

Responses54,894
Respondents7,842
Items7
Response categories5
Responses per respondent7
Responses per item7,842
Density1
LongitudinalFALSE

Classification

age rangeChild (<18y)
child age (for child-focused studies)Adolescent (12-18y)
sampleEducational
construct typeAffective/mental health
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)chi, eng
construct nameShort Warwick-Edinburgh Mental Wellbeing Scale

Item text

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

InstrumentShort Warwick-Edinburgh Mental Wellbeing Scale
Mean words per item6.143
Mean characters per item35
Mean characters per response11.600
Flesch-Kincaid grade level3.820

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("ALSECYPIAMH_WU_2022_SWEMWBS")
# Python
pip install irw

import irw
df = irw.fetch("ALSECYPIAMH_WU_2022_SWEMWBS")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse v53.0
Redivis dataset DOI10.57761/4g08-xt41
Manifest pin for this IRW versionv53.0
Metadata sourceirw_meta v23.0