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Turnover intention predictors among social workers in China
Wenyi Lin,Mengyuan Deng 한국사회복지학회 2019 Asian Social Work and Policy Review Vol.13 No.1
The purpose of this study was to examine factors that best predict turnover among social workers in nonprofit organizations in Guangzhou, Guangdong Province of China. A sample of 312 social workers was selected to complete a self‐administered anonymous survey in 2014. A multiple logistical regression model was used to explain the different factors that influence social workers’ intention to leave their current jobs. The findings showed that age, education, perceived working condition, the perceived prospect of the social work profession, and social support predict turnover intention among social workers.