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The psychometric properties and measurement invariance of the Burnout Assessment Tool (BAT-23) in South Africa

  • North West University
  • KU Leuven

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Background: Burnout is an increasing public health concern that afflicts employees globally. The measurement of burnout is not without criticism, specifically in the context of its operational definition as a syndrome, also recently designated as such by the World Health Organisation. The Burnout Assessment Tool (BAT-23) is a new measure for burnout that addresses many of the criticisms surrounding burnout scales. The aim of this study is to determine the validity, reliability, and measurement invariance of the BAT-23 in South Africa. Method: A quantitative, cross-sectional survey, approach was taken (n = 1048). Latent variable modelling was implemented to investigate the construct-relevant multidimensionality that is present in the BAT. For measurement invariance, the configural, metric, scalar, and strict models were tested. Results: The analyses showed that the hierarchical operationalisation of BAT-assessed burnout was the most appropriate model for the data. Specifically, a bifactor ESEM solution. Composite reliability estimates were all well above the cut-off criteria for both the global burnout factor and the specific factors. The measurement invariance tests showed that gender achieved not only strong invariance, but also strict invariance. However, ethnicity initially only showed strong invariance, but a test of partial strict invariance did show that the mean scores could be fairly compared between the groups when releasing certain constraints. Conclusions: The BAT-23 is a valid and reliable measure to investigate burnout within the Southern African context.

Original languageEnglish
Article number1555
Pages (from-to)1-10
JournalBMC Public Health
Volume22
Issue number1
DOIs
Publication statusPublished - 16 Aug 2022

Bibliographical note

Funding Information:
Open access funding provided by North West University. This study was supported by the National Research Foundation (South Africa) under reference number CSRP170523232041 (Grant No: 112106). The views and opinions expressed are those of the researcher(s) and do not reflect the opinion or views of the National Research Foundation. The funding body did not have any role in the design, collection, analysis, interpretation, or the writing of the research.

Publisher Copyright:
© 2022, The Author(s).

Funding

Open access funding provided by North West University. This study was supported by the National Research Foundation (South Africa) under reference number CSRP170523232041 (Grant No: 112106). The views and opinions expressed are those of the researcher(s) and do not reflect the opinion or views of the National Research Foundation. The funding body did not have any role in the design, collection, analysis, interpretation, or the writing of the research.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Burnout
  • Burnout assessment tool
  • Latent variable modelling
  • Measurement invariance

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