Evidence map›Paper›PMID 39805906›Full record

ArticleScientific reports2025

Psychometric study of the Maslach Burnout Inventory-Student Survey on Thai university students.

Ernesto López-Gómez, Raúl González-Fernández, Buratin Khampirat

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Adaptation of the Copenhagen Burnout Inventory in Latvia: Psychometric Data and Factor Analysis.International journal of environmental research and public health · 2025
    Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ernesto López-GómezUniversidad Nacional de Educación a Distancia (UNED), 28045, Marid, Spain.
Raúl González-FernándezUniversidad Nacional de Educación a Distancia (UNED), 28045, Marid, Spain.
Buratin KhampiratInstitute of Social Technology, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand. buratink@sut.ac.th.

Funding

Suranaree University of Technology Research and Development Fund IRD2-202-66-12-09
6 · The paper itself

Abstract

The Maslach Burnout Inventory-Student Survey (MBI-SS) is a widely used instrument to assess burnout levels, which provides valuable insight into their psychological well-being. Accurate measurement of burnout is crucial for developing interventions aimed at reducing stress and promoting mental health among students. This study aims to validate the MBI-SS when applied among Thai university students and to examine whether the psychometric properties of the scale are consistent with the original conceptual framework. A total of 413 undergraduate students from Thailand participated in the study, with 57.63% females and 42.37% males, and a mean age 21.75 years (SD = 2.40). The MBI-SS was translated into Thai by following rigorous procedures to maintain accuracy and cultural relevance. The factorial structure of the MBI-SS Thai version was evaluated using confirmatory factor analysis (CFA) for both a three-factor model and second-order factor model. The Thai version of the MBI-SS demonstrated a three-dimensional structure consistent with the original inventory, with excellent model fit indices. All item factor loadings exceeded the recommended threshold, and the instrument showed high internal consistency, establishing it a valuable tool for future research and practical application in educational settings aimed at addressing and reducing student burnout.

Indexed as

Burnout, PsychologicalPsychometricsStudentsAdultFactor Analysis, StatisticalFemaleHumansMalePsychological TestsReproducibility of ResultsSelf ReportSoutheast Asian PeopleSurveys and QuestionnairesThailandUniversitiesYoung AdultConfirmatory factor analysisMaslach burnout inventoryPsychometric propertiesScale validationSelf-reportUniversity students

Identifiers

PMID39805906
PMCPMC11729910

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.