song_2023_rses

12,380 responses from 1,238 respondents to 10 items.

About this table

DescriptionRosenberg Self-Esteem Scale (10 items) administered to Chinese medical students
ReferenceSong Y, Sznajder K, Bai Q, Xu Y, Dong Y, Yang X (2023). English as a foreign language writing anxiety and its relationship with self-esteem and mobile phone addiction among Chinese medical students-A structural equation model analysis. PLOS ONE, 18(4), e0284335. https://doi.org/10.1371/journal.pone.0284335
DOI10.1371/journal.pone.0284335
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0284335.s007

Size and shape

Responses12,380
Respondents1,238
Items10
Response categories4
Responses per respondent10
Responses per item1,238
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
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.

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

Columns

cov_agecov_family_incomecov_family_locationcov_father_educationcov_gendercov_gradecov_majorcov_medical_historycov_mother_educationiditemresp

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("song_2023_rses")
# Python
pip install irw

import irw
df = irw.fetch("song_2023_rses")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0