lopezgomez_2025_mbi_cynicism

1,728 responses from 432 respondents to 4 items.

One of 3 tables from the same source; this one is the cynicism table. The others are listed under Related tables.

About this table

DescriptionMaslach Burnout Inventory-Student Survey, Cynicism subscale (4 items, 0-6 frequency scale), N=432 Thai university students
ReferenceLópez-Gómez E, González-Fernández R, Khampirat B. (2025). Psychometric study of the Maslach Burnout Inventory-Student Survey on Thai university students. Scientific Reports.
DOI10.1038/s41598-024-84829-8
LicenceCC BY 4.0
Source datahttps://www.nature.com/articles/s41598-024-84829-8

Size and shape

Responses1,728
Respondents432
Items4
Response categories7
Responses per respondent4
Responses per item432
Density1
LongitudinalFALSE

Classification

sampleEducational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)tha

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, lopezgomez_2025_mbi_ss.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).ID
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script

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("lopezgomez_2025_mbi_cynicism")
# Python
pip install irw

import irw
df = irw.fetch("lopezgomez_2025_mbi_cynicism")

How to cite

@article{L_pez_G_mez_2025, title={Psychometric study of the Maslach Burnout Inventory-Student Survey on Thai university students}, volume={15}, ISSN={2045-2322}, url={http://dx.doi.org/10.1038/s41598-024-84829-8}, DOI={10.1038/s41598-024-84829-8}, number={1}, journal={Scientific Reports}, publisher={Springer Science and Business Media LLC}, author={López-Gómez, Ernesto and González-Fernández, Raúl and Khampirat, Buratin}, year={2025}, month=Jan }

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse_2 v33.0
Redivis dataset DOI10.57761/6m04-m698
Manifest pin for this IRW versionv33.0
Metadata sourceirw_meta v39.0