Maslach Burnout Inventory - General Survey: A Systematic Review and Meta-Analysis of Measurement Properties

Leon T. De Beer*, Leoni Van Der Vaart, Maximiliano Escaffi-Schwarz, Hans De Witte, Wilmar B. Schaufeli

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

This study sought to investigate the measurement properties of a "gold standard"instrument for measuring burnout, the Maslach Burnout Inventory - General Survey (MBI-GS), with a systematic literature review and meta-analysis of studies that had as the primary aim its psychometric validation. The search spanned from January 1996 to December 2022 using the following databases: Web of Science, Scopus, PubMed, APA PsychINFO, ScienceDirect, and ProQuest Dissertations and Theses Global. Our search identified 35 eligible studies for inclusion in the systematic review. Of these, 17 were included in the meta-analysis. The meta-analysis of the original 16-item version studies supported a three-dimensional representation of burnout with modest internal consistencies. However, similar to the narrative findings, it also indicated the viability of a two-factor solution. Consequently, the structural validity of the MBI-GS remains unclear, and so does its cross-cultural validity. The criterion validity of the cynicism and personal efficacy scales also raised a few questions. Overall, the findings provided some support for the adequacy of the measurement properties of the MBI-GS as a research tool measuring exhaustion, cynicism, and professional efficacy. However, we also identified challenges and practices of which researchers should be cognisant and that they should consider in future burnout projects.

Original languageEnglish
Pages (from-to)360-375
Number of pages16
JournalEuropean Journal of Psychological Assessment
Volume40
Issue number5
Early online date5 Feb 2024
DOIs
Publication statusPublished - Oct 2024

Bibliographical note

Publisher Copyright:
© 2024 Hogrefe Publishing.

Keywords

  • burnout scale
  • employee health
  • employee well-being
  • exhaustion
  • MBI-GS

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