oxfordcovid_xue_2024_rse

18,535 responses from 1,534 respondents to 10 items.

About this table

DescriptionRosenberg Self-Esteem Scale (RSE)
ReferenceParsons, S., Todorovic, A., Lim, M. C., Songco, A., & Fox, E. (2022). Data and protocol for the Oxford Achieving Resilience during COVID-19 (ARC) study. Journal of Open Psychology Data, 10(1), 4-4.
DOI10.5334/jopd.56
LicenceCC BY 4.0
Source datahttps://osf.io/4b85w/

Size and shape

Responses18,535
Respondents1,534
Items10
Response categories4
Responses per respondent12.083
Responses per item1853.500
Density1.208
LongitudinalTRUE

Classification

age rangeMixed
child age (for child-focused studies)Adolescent (12-18y)
sampleEducational, Internet-based
construct typeAffective/mental health
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameRosenberg Self-Esteem Scale (RSE)

Item text

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

InstrumentRosenberg Self-Esteem Scale (RSE)
Mean words per item10.200
Mean characters per item46.400
Mean characters per response11
Flesch-Kincaid grade level3.080

Columns

cov_agecov_countrycov_educationcov_employmentcov_ethnicitycov_gendercov_relationship_statuscov_sexual_orientationcov_transiditemrespwave

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("oxfordcovid_xue_2024_rse")
# Python
pip install irw

import irw
df = irw.fetch("oxfordcovid_xue_2024_rse")

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