ali_2026_gses

1,200 responses from 120 respondents to 10 items.

About this table

DescriptionGeneral Self-Efficacy Scale (GSES, Schwarzer & Jerusalem), 10 items, 1-4, 120 adults with and without acquired movement disability; cov_male, cov_age, cov_education, cov_marital, cov_urban, cov_disability_years, cov_disabled.
ReferenceAli, A. (2026). Psychometric evaluation of the General Self-Efficacy Scale and Six Shortened Versions Among Adults with and without Acquired Movement Disability [Data set]. Mendeley Data, V1. https://doi.org/10.17632/f86brhwxpj.1
LicenceCC BY 4.0
Source datahttps://data.mendeley.com/datasets/f86brhwxpj/1

Size and shape

Responses1,200
Respondents120
Items10
Response categories4
Responses per respondent10
Responses per item120
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleClinical, Targeted/specific
construct typePersonality
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
construct nameGeneral Self-Efficacy Scale (GSES; Schwarzer & Jerusalem)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, ali_2026_gses.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 Age
cov_disability_yearsCovariate Disability_Duration
cov_disabledCovariate Group
cov_educationCovariate Educationn
cov_maleCovariate Sex
cov_maritalCovariate Marital_status
cov_urbanCovariate Place_residence

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("ali_2026_gses")
# Python
pip install irw

import irw
df = irw.fetch("ali_2026_gses")

How to cite

@misc{https://doi.org/10.17632/f86brhwxpj.1,
  doi = {10.17632/F86BRHWXPJ.1},
  url = {https://data.mendeley.com/datasets/f86brhwxpj/1},
  author = {Ali, Amira},
  keywords = {Arts and Humanities, Social Sciences},
  title = {Psychometric evaluation of the General Self-Efficacy Scale and Six Shortened Versions Among Adults with and without Acquired Movement Disability},
  publisher = {Mendeley Data},
  year = {2026}
}

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