Latent profiles of changes in elementary school students’ mathematics achievement and their influencing factors: Using growth mixture model

Sichang Yum, Daejung Kang
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Abstract

This study was to identify latent profiles of changes in elementary school students’ mathematics achievement and to test whether their influencing factors had significant effects on classifying the latent profiles. Panel data (1,632 elementary school students) of the first year of 4th grade in 2018 to the third year of 6th grade in 2020 from the Jeonnam Education Longitudinal Study (JELS) were analyzed using a growth mixture model. The findings of this study were as follows: First, four distinct latent profiles were categorized as high level, medium-high level, medium-low level and low level. Second, both the initial value and change rate of each latent profile were positively significant, indicating that the mathematics achievement of the four profiles improved as they progressed through the grades, with the highest change rate for the high-level profile. Third, the main influencing factors for the latent profiles in mathematics achievement were academic self-concept, instructional attitude, parents’ academic support, and relationship with the classroom teacher. Based on the findings of this study, we proposed policy implications for improving mathematics achievement of elementary school students.
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小学生数学成绩变化的潜在特征及其影响因素:使用成长混合模型
本研究旨在识别小学生数学成绩变化的潜在特征,并检验其影响因素是否对潜在特征的分类有显著影响。本研究使用增长混合模型对全南教育纵向研究(JELS)中2018年四年级一年级至2020年六年级三年级的面板数据(1632名小学生)进行了分析。研究结果如下:首先,四个不同的潜在特征被分为高水平、中高水平、中低水平和低水平。第二,各潜能素质的初始值和变化率均呈正向显著性,表明四个潜能素质的数学成绩随着年级的升高而提高,其中高水平潜能素质的变化率最高。第三,数学成绩潜特征的主要影响因素是学业自我概念、教学态度、家长的学业支持以及与任课教师的关系。根据研究结果,我们提出了提高小学生数学成绩的政策启示。
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