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  5. Maslach Burnout Inventory – General Survey

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Article
English
2024

Maslach Burnout Inventory – General Survey

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English
2024
European Journal of Psychological Assessment
Vol 40 (5)
DOI: 10.1027/1015-5759/a000797

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Wilmar Schaufeli
Wilmar Schaufeli

Utrecht University

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Leon T. De Beer
Leoni van der Vaart
Maximiliano Escaffi‐Schwarz
+2 more

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.

How to cite this publication

Leon T. De Beer, Leoni van der Vaart, Maximiliano Escaffi‐Schwarz, Hans De Witte, Wilmar Schaufeli (2024). Maslach Burnout Inventory – General Survey. European Journal of Psychological Assessment, 40(5), pp. 360-375, DOI: 10.1027/1015-5759/a000797.

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Publication Details

Type

Article

Year

2024

Authors

5

Datasets

0

Total Files

0

Language

English

Journal

European Journal of Psychological Assessment

DOI

10.1027/1015-5759/a000797

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