Document Detail


The Bifactor Model of the Maslach Burnout Inventory-Human Services Survey (MBI-HSS)-An Alternative Measurement Model of Burnout.
MedLine Citation:
PMID:  23349135     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
The purpose of the present study was to examine the construct validity of the Hungarian language version of the Maslach Burnout Inventory-Human Services Survey (MBI-HSS). A sample of 653 healthcare professionals (420 physicians and 233 nurses and nursing assistants) completed the MBI-HSS. A series of confirmatory factor analyses showed that a hierarchical bifactor model including a global burnout factor and three specific factors of emotional exhaustion, depersonalization and reduced personal accomplishment had the closest fit to the data, compared with an alternative second-order three-factor hierarchical model as well as to non-hierarchical one-factor, two-factor, three-factor, four-factor and five-factor models. However, only the global burnout factor and the specific personal accomplishment factor explained a considerable unique proportion of variance in observed scores. Our study confirms the validity of the MBI-HSS and suggests an alternative structural model, which may contribute to further understanding of the burnout construct. Copyright © 2013 John Wiley & Sons, Ltd.
Authors:
V Mészáros; Sz Adám; M Szabó; R Szigeti; R Urbán
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-24
Journal Detail:
Title:  Stress and health : journal of the International Society for the Investigation of Stress     Volume:  -     ISSN:  1532-2998     ISO Abbreviation:  Stress Health     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-1-25     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101089166     Medline TA:  Stress Health     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2013 John Wiley & Sons, Ltd.
Affiliation:
Institute of Psychology, Eötvös Loránd University (ELTE PPK), Budapest, Hungary; Department of Clinical Psychology, Semmelweis University, Budapest, Hungary.
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