Measuring burnout among university students: factorial validity, invariance, and latent profiles of the Italian version of the Maslach Burnout Inventory Student Survey (MBI-SS)

Portoghese, Igor, Leiter, Michael P, Maslach, Christina, Galletta, Maura, Porru, Fabio, D'Aloja, Ernesto, Finco, Gabriele and Campagna, Marcello 2018, Measuring burnout among university students: factorial validity, invariance, and latent profiles of the Italian version of the Maslach Burnout Inventory Student Survey (MBI-SS), Frontiers in psychology, vol. 9, pp. 1-9, doi: 10.3389/fpsyg.2018.02105.

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Title Measuring burnout among university students: factorial validity, invariance, and latent profiles of the Italian version of the Maslach Burnout Inventory Student Survey (MBI-SS)
Author(s) Portoghese, Igor
Leiter, Michael PORCID iD for Leiter, Michael P orcid.org/0000-0001-5680-0363
Maslach, Christina
Galletta, Maura
Porru, Fabio
D'Aloja, Ernesto
Finco, Gabriele
Campagna, Marcello
Journal name Frontiers in psychology
Volume number 9
Article ID 2105
Start page 1
End page 9
Total pages 9
Publisher Frontiers Media
Place of publication Lausanne, Switzerland
Publication date 2018-11
ISSN 1664-1078
Keyword(s) student burnout
Maslach Burnout Inventory-Student Survey
factorial validity
invariance
latent profiles
social sciences
psychology
Summary Burnout has a long tradition of studies in the workplace and recently researchers suggested burnout is also rising among university students. The Maslach Burnout Inventory (MBI) is considered a valid measure of burnout. However, the student version of the MBI (MBI-SS) has received limited empirical support. The aim of this paper is to analyze the factorial validity, invariance, and latent profiles of the Italian version of the MBI-SS in a sample university students. A total of 7757 Italian university students participated in an online cross-sectional survey. Results from explorative and confirmatory factor analyses showed acceptable fits for the Italian version of the MBI-SS. In addition, multigroup analyses supported full-metric invariance of MBI-SS within gender and academic level (bachelor vs. master). Finally, results from latent profile analysis showed that a three latent profile model was the better solution for the data: (a) burned-out (high levels of exhaustion, cynicism (CY), and low professional efficacy (PE); n = 2665, 34.2%); (b) overextended (high levels of exhaustion, moderate other, n = 3953, 51.0%); and (c) engaged (moderate exhaustion, low CY, and high PE, n = 1149, 14.8%). The resulting three-profile solution in the present study partially agrees with a prior study as it replicated three of the five-profile solution identified. In sum, we suggest that the MBI-SS is valid and reliable and represents a robust instrument for the measurement of burnout among Italian speaking university students.
Language eng
DOI 10.3389/fpsyg.2018.02105
Field of Research 1701 Psychology
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2018, Portoghese, Leiter, Maslach, Galletta, Porru, D’Aloja, Finco and Campagna
Persistent URL http://hdl.handle.net/10536/DRO/DU:30117428

Document type: Journal Article
Collections: Faculty of Health
School of Psychology
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