TY - JOUR
T1 - Measuring burnout in social work: factorial validity of the Maslach Burnout Inventory-Human Services Survey
AU - Doherty, Ann
AU - Mallett, J.
AU - Leiter, Michael
AU - Mc Fadden, Paula
PY - 2020/3/13
Y1 - 2020/3/13
N2 - 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 (χ
2 = 1,112.93, df = 149, p <.001, CFI =.969, RMSEA =.072, 90% CI [.068,076]) and validation (χ
2 = 227.89, df = 149, p <.001, CFI =.978, RMSEA =.057, 90% CI [.042,072]) samples. The results confirm the MBI-HSS possesses a bifactor structure in UK social workers when SMT is considered, and that bifactor-ESEM may provide a better framework to examine MBI-HSS.
AB - 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 (χ
2 = 1,112.93, df = 149, p <.001, CFI =.969, RMSEA =.072, 90% CI [.068,076]) and validation (χ
2 = 227.89, df = 149, p <.001, CFI =.978, RMSEA =.057, 90% CI [.042,072]) samples. The results confirm the MBI-HSS possesses a bifactor structure in UK social workers when SMT is considered, and that bifactor-ESEM may provide a better framework to examine MBI-HSS.
KW - MBI-HSS
KW - bifactor
KW - bifactor-ESEM
KW - burnout
KW - social work
UR - http://www.scopus.com/inward/record.url?scp=85081701608&partnerID=8YFLogxK
U2 - 10.1027/1015-5759/a000568
DO - 10.1027/1015-5759/a000568
M3 - Article
SP - 1
EP - 22
JO - European Journal of Psychological Assessment
JF - European Journal of Psychological Assessment
SN - 1015-5759
ER -