Research on the Influencing Factors and Support Degree of Kindergarten Parents for Public and Private Enrollment Policy——Taking Hangzhou as an Example

  • Shijie Gao Hangzhou Normal University
  • Zhuofan Zhong Hangzhou Normal University
  • Zihan Wang Hangzhou Normal University
  • Siqi Ye Hangzhou Normal University
  • Wei Xia Hangzhou Normal University
Keywords: Public and Private Enrollment Policy, Apriori algorithm, Binary Logistic Regression model

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.

References

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Published
2022-06-20
Section
Articles