Research on the Influencing Factors and Support Degree of Kindergarten Parents for Public and Private Enrollment Policy——Taking Hangzhou as an Example
Abstract
Today, people’s demand for quality education is growing, and parents place particular importance on the quality of
education their children receive, and under the mechanism of early enrolment in private schools, there is a constant “private fever”
and “training fever” in the society. In response to this, the Hangzhou government issued the Notice on Simultaneous Enrolment
in Public and Private Primary Schools to ease the pressure on public schools. In this paper, we used Apriori algorithm to mine
data based on questionnaire data and found that people who are more aware of the policy are generally freelancers, their children
are in the first grade and their annual income is between RMB 100,000 and 200,000. We also investigated parents’ support for the
policy, using basic family and child characteristics as independent variables and whether they support the policy as the dependent
variable, and developed a dichotomous logistic Regression model to fit the probability of parents supporting the policy and made
recommendations based on this.
education their children receive, and under the mechanism of early enrolment in private schools, there is a constant “private fever”
and “training fever” in the society. In response to this, the Hangzhou government issued the Notice on Simultaneous Enrolment
in Public and Private Primary Schools to ease the pressure on public schools. In this paper, we used Apriori algorithm to mine
data based on questionnaire data and found that people who are more aware of the policy are generally freelancers, their children
are in the first grade and their annual income is between RMB 100,000 and 200,000. We also investigated parents’ support for the
policy, using basic family and child characteristics as independent variables and whether they support the policy as the dependent
variable, and developed a dichotomous logistic Regression model to fit the probability of parents supporting the policy and made
recommendations based on this.
Keywords
Public and Private Enrollment Policy; Apriori algorithm; Binary Logistic Regression model
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PDFReferences
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DOI: http://dx.doi.org/10.18686/ahe.v6i15.5217
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