A Reliability Generalization Meta-Analysis of Coefficient Alpha for the Maslach Burnout Inventory

• Published in: Educational and psychological measurement Vol. 71; no. 1; pp. 231 - 244
• Main Authors: Wheeler, Denna L., Vassar, Matt, Worley, Jody A., Barnes, Laura L. B.
• Format: Journal Article
• Language: English
• Published: Los Angeles, CA SAGE Publications 01-02-2011; Sage Publications; SAGE PUBLICATIONS, INC
• Subjects: Biological and medical sciences; Burnout; Clinical Diagnosis; Cronbach's alpha; Fundamental and applied biological sciences. Psychology; Generalization; Maslach Burnout Inventory; Measures (Individuals); Meta Analysis; Occupational psychology; Psychology. Psychoanalysis. Psychiatry; Psychology. Psychophysiology; Psychometrics; Questionnaires; Reliability; Scores; Systematic review; Testing; meta-analysis; reliability generalization; burnout; MBI; Human; Questionnaire; Internal consistency; Psychometrics; Review; Test reliability; Generalization; Occupational burnout; Metaanalysis; Burnout Inventory Maslach
• ISSN: 0013-1644; 1552-3888
• DOI: 10.1177/0013164410391579

The purpose of this study was to synthesize internal consistency reliability for the subscale scores on the Maslach Burnout Inventory (MBI). The authors addressed three research questions: (a) What is the mean subscale score reliability for the MBI across studies? (b) What factors are associated with observed variance in MBI subscale score reliability? (c) What are the implications for appropriate use based on MBI subscale mean internal consistency estimates? Of the 221 studies reviewed, 84 provided alpha coefficients and were used in the current analysis. Results suggest that mean alpha estimates across subscales generally fell within the .70 to .80 range. Scale variance and language most often accounted for the variance in coefficient alpha, although some variations were apparent between subscales. Of the three MBI subscales, Personal Accomplishment and Depersonalization mean alpha estimates were well below recommended levels for high-stakes decisions, such as the diagnosis of burnout syndrome. Recommendations for the use of the current version of the instrument’s scale scores as well as suggestions for scale refinement are provided.