"Measuring burnout in social work"
by Doherty, Ann S; Mallett, John; Leiter, Michael P; McFadden, Paula (2021)
Abstract
Abstract. Several studies challenge the three-dimensional structure of the Maslach Burnout Inventory – Human Services Survey (MBI-HSS), citing alternative measurement models including bifactor models. While bifactor models have merit, if data sampling violates assumptions of Stochastic Measurement Theory (SMT) the bifactor model requires modification prior to application. The present study compared five alternative MBI-HSS factor models using both Confirmatory Factor Analysis (CFA) and Exploratory Structural Equation Modeling (ESEM). Data from a cross-sectional survey of United Kingdom (UK) social workers were examined ( N = 1257), with validation analyses conducted in an independent sample ( N = 162). Bifactor models, re-specified to account for SMT, provided good fit. However, improved fit was observed for a bifactor-ESEM specification, in both test (χ2 = 1,112.93, df = 149, p 2 = 227.89, df = 149, p
Keywords
Themes
BurnoutLinks to Reference
Citation
Share
How to contribute.
