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Psychometric properties of a Dutch version of the Maslach Burnout Inventory General Survey (MBI‐DV) in individuals with and without clinical burnout
Author(s) -
Roelofs Jeffrey,
Verbraak Marc,
Keijsers Ger P. J.,
de Bruin Marieke B. N.,
Schmidt Anton J. M.
Publication year - 2005
Publication title -
stress and health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.009
H-Index - 61
eISSN - 1532-2998
pISSN - 1532-3005
DOI - 10.1002/smi.1032
Subject(s) - burnout , psychology , emotional exhaustion , cronbach's alpha , clinical psychology , depersonalization , construct validity , confirmatory factor analysis , psychometrics , checklist , occupational burnout , reliability (semiconductor) , structural equation modeling , power (physics) , statistics , physics , mathematics , quantum mechanics , cognitive psychology
Psychometric properties of the Dutch version of the Maslach Burnout Inventory General Survey, the MBI‐DV, were examined in individuals with and without clinical burnout. The factor structure, the utility of the MBI‐DV as a screening instrument in addition to a clinical interview for diagnosing clinical burnout, as well as construct validity and reliability (internal consistency) were investigated. Individuals underwent a clinical interview and completed the MBI‐DV as well as the Symptom Checklist (SCL‐90). Confirmatory factor analysis, correlational analyses, and Cronbach alphas were computed and used to examine the objectives of the present study. A three‐factor model of the MBI‐DV best fitted the data in both individuals with and without clinical burnout. The Emotional Exhaustion subscale was highly associated with clinical diagnosis of burnout even when controlling for depression and general psychopathology. Construct validity of the MBI‐DV was supported by modest correlations with the SCL‐90 and subscales of the MBI‐DV showed good internal consistency in individuals with and without clinical burnout. The MBI‐DV is a valid and reliable multidimensional construct of which the Emotional Exhaustion subscale may be particularly useful as a screening tool in addition to a clinical interview for determining the presence of clinical burnout. Copyright © 2004 John Wiley & Sons, Ltd.