Burnout Assessment Tool: a reliability generalisation meta-analysis

César Villacura-Herrera; Hedy Acosta-Antognoni; Javiera Maldonado; Fernanda Arriaza; Natalia Cancino-Letelier; Marcelo Nvo-Fernández; Wilmar B. Schaufeli

doi:10.1080/02678373.2025.2484758

Burnout Assessment Tool: a reliability generalisation meta-analysis

César Villacura-Herrera, Hedy Acosta-Antognoni^*, Javiera Maldonado, Fernanda Arriaza, Natalia Cancino-Letelier, Marcelo Nvo-Fernández, Wilmar B. Schaufeli

^*Corresponding author for this work

Universidad de Talca

Research output: Contribution to journal › Review article › peer-review

Abstract

The aim of this study was to conduct a reliability generalisation meta-analysis (RGMA) for the Burnout Assessment Tool (BAT) on its original and shortened versions based on Cronbach’s alpha and McDonald’s omega. A systematic search was carried out on six databases, where 56 articles were included in the analyses. Results based on random-effects models show good pooled internal consistency indices for the BAT and its subscales on both its original (α =.798–.948; ω =.754–.940) and shortened versions (α =.763–.907; ω =.750–.909), while showing high heterogeneity overall (p_Q ≤.004; I² ≥ 77.59%). Sources of variability were examined through influence diagnostics and meta-regression analysis. Our findings confirm that the BAT is a highly reliable tool for the assessment of burnout across different populations and settings. These results demonstrate that this measure shows better reliability indices when compared to the Maslach Burnout Inventory (MBI). Methodological and practical implications for the assessment and diagnosis of burnout in the organisational context are discussed.

Original language	English
Pages (from-to)	169-196
Number of pages	28
Journal	Work and Stress
Volume	39
Issue number	2
Early online date	29 Mar 2025
DOIs	https://doi.org/10.1080/02678373.2025.2484758
Publication status	Published - Apr 2025

Bibliographical note

Publisher Copyright:
© 2025 Informa UK Limited, trading as Taylor & Francis Group.

Funding

This work was supported by Programa de Investigacion Asociativa (PIA), Universidad de Talca [RU-158-2019]; National Research and Development Agency of Chile (ANID)'s National Doctorate Grant [21221538].

Funders	Funder number
Programa de Investigacion Asociativa (PIA)
Universidad de Talca	RU-158-2019
National Research and Development Agency of Chile (ANID)'s National Doctorate Grant	21221538

Keywords

burnout
Burnout Assessment Tool
meta-analysis
reliability generalization

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10.1080/02678373.2025.2484758

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title = "Burnout Assessment Tool: a reliability generalisation meta-analysis",

abstract = "The aim of this study was to conduct a reliability generalisation meta-analysis (RGMA) for the Burnout Assessment Tool (BAT) on its original and shortened versions based on Cronbach{\textquoteright}s alpha and McDonald{\textquoteright}s omega. A systematic search was carried out on six databases, where 56 articles were included in the analyses. Results based on random-effects models show good pooled internal consistency indices for the BAT and its subscales on both its original (α =.798–.948; ω =.754–.940) and shortened versions (α =.763–.907; ω =.750–.909), while showing high heterogeneity overall (pQ ≤.004; I2 ≥ 77.59\%). Sources of variability were examined through influence diagnostics and meta-regression analysis. Our findings confirm that the BAT is a highly reliable tool for the assessment of burnout across different populations and settings. These results demonstrate that this measure shows better reliability indices when compared to the Maslach Burnout Inventory (MBI). Methodological and practical implications for the assessment and diagnosis of burnout in the organisational context are discussed.",

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doi = "10.1080/02678373.2025.2484758",

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AU - Villacura-Herrera, César

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AU - Maldonado, Javiera

AU - Arriaza, Fernanda

AU - Cancino-Letelier, Natalia

AU - Nvo-Fernández, Marcelo

AU - Schaufeli, Wilmar B.

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AB - The aim of this study was to conduct a reliability generalisation meta-analysis (RGMA) for the Burnout Assessment Tool (BAT) on its original and shortened versions based on Cronbach’s alpha and McDonald’s omega. A systematic search was carried out on six databases, where 56 articles were included in the analyses. Results based on random-effects models show good pooled internal consistency indices for the BAT and its subscales on both its original (α =.798–.948; ω =.754–.940) and shortened versions (α =.763–.907; ω =.750–.909), while showing high heterogeneity overall (pQ ≤.004; I2 ≥ 77.59%). Sources of variability were examined through influence diagnostics and meta-regression analysis. Our findings confirm that the BAT is a highly reliable tool for the assessment of burnout across different populations and settings. These results demonstrate that this measure shows better reliability indices when compared to the Maslach Burnout Inventory (MBI). Methodological and practical implications for the assessment and diagnosis of burnout in the organisational context are discussed.

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Burnout Assessment Tool: a reliability generalisation meta-analysis

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