田茂再, 吴喜之, 李远, 周朋朋. 外部压力对学生的数学及科学成绩效应的纵向研究 --- 非参数分位回归方法[J]. 应用概率统计, 2008, 24(3): 327-336.
引用本文: 田茂再, 吴喜之, 李远, 周朋朋. 外部压力对学生的数学及科学成绩效应的纵向研究 --- 非参数分位回归方法[J]. 应用概率统计, 2008, 24(3): 327-336.
Tian Maozai, Wu Xizhi, Li Yuan, Zhou Pengpeng. Longitudinal Study of the External Pressure Effects on Children's Mathematics and Science Achievements Using Nonparametric Quantile Regression[J]. Chinese Journal of Applied Probability and Statistics, 2008, 24(3): 327-336.
Citation: Tian Maozai, Wu Xizhi, Li Yuan, Zhou Pengpeng. Longitudinal Study of the External Pressure Effects on Children's Mathematics and Science Achievements Using Nonparametric Quantile Regression[J]. Chinese Journal of Applied Probability and Statistics, 2008, 24(3): 327-336.

外部压力对学生的数学及科学成绩效应的纵向研究 --- 非参数分位回归方法

Longitudinal Study of the External Pressure Effects on Children's Mathematics and Science Achievements Using Nonparametric Quantile Regression

  • 摘要: 过去, 许多研究主要集中在学生的经济背景与心理因素对其成绩的影响方面. 然而, 很少注意到外部压力对学生成绩的影响, 诸如来自家长与同学方面的压力. 本文重点放在这一有趣而且很重要的主题上, 利用非参数分位回归中的``双核''法对美国青年人进行了深入地纵向研究, 得到了几个很有趣的发现. 这些研究的方法、结果不光对学生家长有用, 而且对教育政策制定者与咨询者也有所裨益.

     

    Abstract: Many of the previous studies have emphasized the effects of students' economic background and psychological factors on their achievements. Less attention has been paid, however, to the external pressure factors, such as parent's push and peer's push on achievements. This article attempts to address the interesting and important research topic and to give an in-depth longitudinal study of American youth using a so called ``double-kernel'' nonparametric quantile regression approach. Several interesting findings are useful for parents, especially for educational policy makers and consultants.

     

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