About this table

Description	Rosenberg Self-Esteem Scale (SES; 10 items, A25-A34) in Chinese left-behind adolescents; N=303; 1-4 ordinal
Reference	Chen, C., & Hu, L. (2022). Data_Sheet_1_Self-esteem mediated relations between loneliness and social anxiety in Chinese adolescents with left-behind experience [Dataset]. Frontiers. https://doi.org/10.3389/fpsyg.2022.1014794.s001
DOI	10.3389/fpsyg.2022.1014794.s001
Licence	CC BY 4.0
Source data	https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Self-esteem_mediated_relations_between_loneliness_and_social_anxiety_in_Chinese_adolescents_with_left-behind_experience_CSV/21515877

Size and shape

Responses	3,030
Respondents	303
Items	10
Response categories	4
Responses per respondent	10
Responses per item	303
Density	1
Longitudinal	FALSE

Classification

age range	Child (<18y)
child age (for child-focused studies)	Child (6-12y), Adolescent (12-18y)
sample	Educational
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	Rosenberg Self-Esteem Scale (SES), Chinese adaptation (Ji and Yu, 1999)
Mean words per item	10.200
Mean characters per item	46.400
Mean characters per response	2
Flesch-Kincaid grade level	3.080

Columns

cov_agecov_family_incomecov_father_educationcov_father_jobcov_gradecov_left_behind_typecov_mother_educationcov_mother_jobcov_only_childcov_sexiditemresp

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("chen2022_ses")

# Python
pip install irw

import irw
df = irw.fetch("chen2022_ses")

Version and provenance

IRW version	v393
Redivis dataset	item_response_warehouse_2 v19.0
Redivis dataset DOI	10.57761/qtx5-4m80
Manifest pin for this IRW version	v19.0
Metadata source	irw_meta v23.0