多层次回归模型,影响学生学习数学结果的问题

Arie Purwanto
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引用次数: 0

摘要

到目前为止,数学仍然被认为是一门复杂的学科。因此,该学科的数学学习成果普遍较低。因此,研究者希望对学生在数学学习中所面临的问题进行评估。本研究的目的是了解学习变量、学生的学习环境、学生的学习动机、学生的独立性对学生的学习成果是否有影响。本研究采用滚雪球抽样法对高中生进行问卷调查。该分析用于多水平线性回归分析。这样做是为了从所进行的建模分析中获取或探索更多信息。通过研究发现,同步学生的数学学习成绩存在同步显著性。另一方面,还可以看到年级水平的可变性非常低,这被描述为每个年级面临的问题没有太大不同。关键词:学习成果,多水平回归
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pemodelan Regresi Multilevel Pada Pengaruh Masalah Yang Dihadapi Siswa Terhadap Hasil Belajar Matematika
So far, mathematics is still considered a complex subject to understand. Thus, mathematics learning outcomes in this subject are generally relatively low. Therefore, researchers want to conduct an assessment of the problems faced by students in learning mathematics. The purpose of this research is to know whether or not there is an influence of learning variables, the environment in which students learn, the motivation of students in learning, and the independence students on their learning outcomes. The method chosen is a survey with the snowball sampling method on high school students. The analysis is used in multilevel linear regression analysis. This is doto to obtain or explore more information from the modeling analysis carried out. Based on the research, it was found that there were simultaneous significancenificant simultaneous student’s mathematics learning outcomes. On the other perception, it is also seen that the variability of the grade level is very low which is described as the problem faced for each grade level is not much different. Keywords: learning outcome, multilevel regression
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