Premium
Turnover intention predictors among social workers in China
Author(s) -
Lin Wenyi,
Deng Mengyuan
Publication year - 2019
Publication title -
asian social work and policy review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.286
H-Index - 13
eISSN - 1753-1411
pISSN - 1753-1403
DOI - 10.1111/aswp.12161
Subject(s) - turnover intention , china , social work , turnover , psychology , demographic economics , sample (material) , general social survey , social psychology , political science , economic growth , job satisfaction , management , economics , chemistry , chromatography , law
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.