In addition, MANOVAs produced significant gender × age, and gender × working experience interaction effects on burnout. This means that the factor structure of the MBI-GS is similar across a wide variety of occupations (including human services and technical professions), although there are differences between occupations regarding factor loadings, path coefficients, and error variances. Exhaustion, cynicism, and professional efficacy were identified as separate burnout dimensions for the sample as a whole, as well as for each occupational group separately. Results of multi-group confirmatory factor analyses favored the proposed Three-Factor Model over alternative Two- and One-Factor Models. Consulting Psychologists Press, CA) in eight different occupational groups of employees (N=2919), who were recruited through the Internet. N2 - This study examined the factorial validity of the Maslach Burnout Inventory - General Survey (MBI-GS Schaufeli et al., Maslach Burnout Inventory Manual, pp. T1 - Validation of the Maslach Burnout Inventory - general survey : an Internet study Across occupations, females reported higher levels of burnout than males, particularly when they were relatively young or had relatively little working experience.", Across occupations, females reported higher levels of burnout than males, particularly when they were relatively young or had relatively little working experience.Ībstract = "This study examined the factorial validity of the Maslach Burnout Inventory - General Survey (MBI-GS Schaufeli et al., Maslach Burnout Inventory Manual, pp. ![]() ![]() This study examined the factorial validity of the Maslach Burnout Inventory - General Survey (MBI-GS Schaufeli et al., Maslach Burnout Inventory Manual, pp.
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