Lauren H.K. Stanley, Melissa Radey, Lisa Magruder, Dina J. Wilke
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引用次数: 0
Abstract
Background
The prevalence and predictors of work-related burnout have been extensively investigated within the child welfare workforce. However, the understanding of significant predictors has largely relied on traditional regression analyses, which often fail to capture the unique contributions of each predictor. Dominance analysis (DA) is an advanced quantitative method that determines the relative importance of predictive variables in multiple regression models.
Objective
This study aimed to determine which empirically-based predictor had the most impact on work-related burnout in child welfare workers.
Participants and setting
This study used a sample of newly hired frontline child welfare workers (n = 597) who had been on the job for 18 months.
Methods
A DA was used to analyze a regression model of eight empirically based predictors of work-related burnout in child welfare workers.
Results
Findings among frontline child welfare workers (n = 597) indicate that time pressure contributed the most unique variance (17 %) when predicting work-related burnout and dominated all other organizational factors predicting work-related burnout.
Conclusions
Findings have implications for child welfare organizations and child welfare workforce policy development.
期刊介绍:
Official Publication of the International Society for Prevention of Child Abuse and Neglect. Child Abuse & Neglect The International Journal, provides an international, multidisciplinary forum on all aspects of child abuse and neglect, with special emphasis on prevention and treatment; the scope extends further to all those aspects of life which either favor or hinder child development. While contributions will primarily be from the fields of psychology, psychiatry, social work, medicine, nursing, law enforcement, legislature, education, and anthropology, the Journal encourages the concerned lay individual and child-oriented advocate organizations to contribute.