mendezlopez_2023_rses

3,898 responses from 390 respondents to 10 items.

One of 8 tables from the same source; this one measures Self-esteem (Rosenberg). The others are listed under Related tables.

About this table

DescriptionRosenberg Self-Esteem Scale, Spanish version (10 items, 1-4, stored scored) for 390 adults aged 35-74 attending primary care in Aragon, Spain.
ReferenceMéndez-López, F., Oliván-Blázquez, B., Domínguez García, M., López-Del-Hoyo, Y., Tamayo-Morales, O., & Magallón-Botaya, R. (2023). Depressive and Anxious Symptoms Increase with Problematic Technologies Use Among Adults: The Effects of Personal Factors Related to Health Behavior. Psychology Research and Behavior Management, 16, 2499-2515. https://doi.org/10.2147/PRBM.S412013
DOI10.2147/PRBM.S412013
LicenceCC BY 4.0
Source datahttps://zenodo.org/records/10645380

Size and shape

Responses3,898
Respondents390
Items10
Response categories4
Responses per respondent9.995
Responses per item389.800
Density0.999
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleClinical, General/non-specific
construct typePersonality
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)spa
construct nameSelf-esteem (Rosenberg)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, mendezlopez_2023_ict_mental_health.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_ageCovariate edad
cov_educationCovariate nivel_estudios_dicot
cov_genderCovariate genero_actual
cov_partnerCovariate estado_civil_dicot
cov_rural_urbanCovariate municip
cov_workingCovariate laboral_actual_dicot

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("mendezlopez_2023_rses")
# Python
pip install irw

import irw
df = irw.fetch("mendezlopez_2023_rses")

How to cite

@article{M_ndez_L_pez_2023, title={Depressive and Anxious Symptoms Increase with Problematic Technologies Use Among Adults: The Effects of Personal Factors Related to Health Behavior}, volume={Volume 16}, ISSN={1179-1578}, url={http://dx.doi.org/10.2147/PRBM.S412013}, DOI={10.2147/prbm.s412013}, journal={Psychology Research and Behavior Management}, publisher={Informa UK Limited}, author={Méndez-López, Fátima and Oliván-Blázquez, Bárbara and Domínguez García, Marta and López-Del-Hoyo, Yolanda and Tamayo-Morales, Olaya and Magallón-Botaya, Rosa}, year={2023}, month=July, pages={2499–2515} }

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_6 v5.11
Redivis dataset DOI10.57761/qahq-j855
Manifest pin for this IRW versionv5.11
Metadata sourceirw_meta v44.0