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首页> 外文期刊>International Journal of Statistics and Probability >Application of Discrete Regression Models for Analyzing K-8 Students Nonchronic Absenteeism in the United States
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Application of Discrete Regression Models for Analyzing K-8 Students Nonchronic Absenteeism in the United States

机译：离散回归模型在美国K-8学生非高速缺勤分析的应用

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Absenteeism is a national crisis in the United States, and must be addressed adequately at the early stages or at its onset, to prevent consequential disaster and burden due to absenteeism. A pervasive and persuasive nonchronic absenteeism results in chronic absenteeism, and causes severe damage to students’ life, schools and societies. While a good number of articles address various issues relating to chronic absenteeism, no evidence of research exists investigating nonchronic absenteeism. The aim of this article is to investigate factors affecting nonchronic absenteeism in K-8 students in the United States by applying discrete regression models. Initially, we investigate K-8 students nonchronic absenteeism discrepancies due to socio-demographic and parental involvement factors via descriptive analysis and then employ Poisson and negative binomial regression models for exploring significant factors of K-8 nonchronic absenteeism. The findings of this study will be of great use to stakeholders in developing appropriate incentive measures for reducing nonchronic absenteeism early and thereby reducing chronic absenteeism.
机译：旷工是美国的全国危机，必须在早期阶段或发病时充分解决，以防止由于旷工导致的后果灾害和负担。一种普遍性和有说服力的非高速缺勤导致慢性缺勤，对学生的生命，学校和社会造成严重损害。虽然众多文章解决了与慢性缺勤有关的各种问题，但没有研究的证据存在调查非高速缺勤。本文的目的是通过应用离散回归模型来调查影响美国K-8学生非增压缺勤的因素。最初，我们通过描述性分析来调查K-8学生非高档缺勤因子，然后通过描述性分析，然后使用泊松和负二项式回归模型来探索K-8非高速缺勤的重要因素。本研究的调查结果将对利益相关者提出适当的激励措施，以便早期减少非高档缺勤措施，从而减少慢性缺勤。

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