Quantitative Prediction of Teacher Turnover Risk in a Private Nursery
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DOI: 10.25236/icess.2019.422
Corresponding Author
Yulian Li
Abstract
Early childhood education is an important stage of education, and the quality of kindergarten teachers directly determines the quality of early childhood education. In recent years, with the enthusiasm of preschool education with social power and private capital investment, the number of kindergartens in China has risen sharply, but this has also led to problems such as high liquidity and even dereliction of duty caused by low wages or unsatisfactory work, under the excessive marketization. At present, although domestic research is deepening, most of them are based on qualitative and post-mortem surveys. This article attempts to predict the turnover risk of private kindergarten teachers based on the perspective of prior prevention, combined with quantitative analysis tools such as discriminant analysis and cluster analysis, in order to help the relevant managers to actively understand the stability level of the kindergarten teachers, and then through communication and training and other measures to further ensure the quality of education.
Keywords
Private kindergarten teacher, Turnover risk, Quantitative prediction, Discriminant analysis, Cluster analysis