mclean_2022_rses

1,219 responses from 123 respondents to 10 items.

One of 7 tables from the same source; this one measures Rosenberg Self-Esteem Scale (RSES). The others are listed under Related tables.

About this table

DescriptionRosenberg Self-Esteem Scale (10 items), 1-4; 123 undergraduates at a Western Canadian university (2015-16); cov_age_band, cov_gender (0 male, 1 female), cov_esl, cov_year, cov_grade, cov_term, cov_complete.
ReferenceMcLean, M. (2022). Personality, academic behaviour, and mental health variables from college student sample [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/UTBOEQ
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/UTBOEQ

Size and shape

Responses1,219
Respondents123
Items10
Response categories4
Responses per respondent9.911
Responses per item121.900
Density0.991
LongitudinalFALSE

Classification

sampleEducational
construct typeAffective/mental health
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameRosenberg Self-Esteem Scale (RSES)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, mclean_2022_perfectionism.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_age_bandCovariate age
cov_completeCovariate complete
cov_eslCovariate esl
cov_genderCovariate gender
cov_gradeCovariate grade
cov_termCovariate termT1
cov_yearCovariate year

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("mclean_2022_rses")
# Python
pip install irw

import irw
df = irw.fetch("mclean_2022_rses")

How to cite

@misc{https://doi.org/10.7910/dvn/utboeq,
  doi = {10.7910/DVN/UTBOEQ},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/UTBOEQ},
  author = {McLean, Michelle},
  keywords = {Social Sciences},
  title = {Personality, academic behaviour, and mental health variables from college student sample},
  publisher = {Harvard Dataverse},
  year = {2022}
}

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_5 v8.5
Redivis dataset DOI10.57761/41xy-5k56
Manifest pin for this IRW versionv8.5
Metadata sourceirw_meta v44.0