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 (LPA) showed that a three latent profile model was the better solution for the data: (a) burned-out (high levels of exhaustion, cynicism and low professional efficacy; n=2665, 34.2%); (b) overextended (high levels of exhaustion, moderate other was labeled, n=3953, 51.0%); (c) engaged (moderate exhaustion, low cynicism, and high professional efficacy, 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.

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
Primo
Writing – Review & Editing
;
Galletta Maura
Writing – Review & Editing
;
Porru Fabio
Membro del Collaboration Group
;
D’Aloja Ernesto
Resources
;
Finco Gabriele
Penultimo
Resources
;
Campagna Marcello
Ultimo
Supervision
2018-01-01

Abstract

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 (LPA) showed that a three latent profile model was the better solution for the data: (a) burned-out (high levels of exhaustion, cynicism and low professional efficacy; n=2665, 34.2%); (b) overextended (high levels of exhaustion, moderate other was labeled, n=3953, 51.0%); (c) engaged (moderate exhaustion, low cynicism, and high professional efficacy, 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.
2018
student burnout, Maslach Burnout Inventory-Student Survey, factorial validity, invariance, latent profiles
File in questo prodotto:
File Dimensione Formato  
fpsyg-09-02105.pdf

accesso aperto

Tipologia: versione editoriale
Dimensione 210.73 kB
Formato Adobe PDF
210.73 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/255610
Citazioni
  • ???jsp.display-item.citation.pmc??? 32
  • Scopus 63
  • ???jsp.display-item.citation.isi??? 58
social impact