Zhang Kai, Zhou Jinhua
School of Public Administration, Sichuan University, Chengdu, China.
Liupanshui Second Experimental Middle School, Liupanshui, China.
Front Psychol. 2024 Sep 16;15:1329570. doi: 10.3389/fpsyg.2024.1329570. eCollection 2024.
Addressing mathematics anxiety is important to ensure that students achieve good academic performance and maintain their mental health during the critical middle school period. However, previous studies have focused on the separate effects of the preconditions for mathematics anxiety, ignoring the interaction of factors. Therefore, this study aims to identify the determinants of mathematics anxiety from the perspective of complex systems via necessary condition analysis (NCA) and qualitative comparative analysis (QCA). To the best of our knowledge, this is the first study to identify configurations of preconditions of mathematics anxiety among middle school students.
A total of 183 middle school students aged 16 to 19 years ( = 17.47, SD = 0.89) in China participated in this cross-sectional study. The outcome variable of the study is mathematics anxiety, and the condition variables include mathematics grade, parental support, learning motivation, learning planning, and learning interest.
The necessity condition analysis shows that not all the condition variables constitute the necessity condition of mathematics anxiety alone. Four paths for the influence of multiple condition variables on mathematics anxiety are identified via the configuration analysis. Notably, even students with high mathematics scores and learning interest still experience mathematics anxiety due to a lack of practical parental support and learning motivation. High levels of parental support can exacerbate the mathematics anxiety of students under two conditions: 1) a lack of learning motivation and learning plans, and 2) interest in learning but low mathematics scores and unclear learning plans.
This study highlights the need to consider the comprehensive impact of mathematics anxiety, and the findings will help educators and researchers identify the different characteristics of mathematics anxiety in student populations.
解决数学焦虑对于确保学生在关键的中学阶段取得良好的学业成绩并保持心理健康至关重要。然而,以往的研究主要关注数学焦虑前提条件的单独影响,而忽略了因素之间的相互作用。因此,本研究旨在通过必要条件分析(NCA)和定性比较分析(QCA)从复杂系统的角度识别数学焦虑的决定因素。据我们所知,这是第一项识别中学生数学焦虑前提条件组合的研究。
共有183名年龄在16至19岁(平均年龄=17.47,标准差=0.89)的中国中学生参与了这项横断面研究。该研究的结果变量是数学焦虑,条件变量包括数学成绩、家长支持、学习动机、学习计划和学习兴趣。
必要条件分析表明,并非所有条件变量单独构成数学焦虑的必要条件。通过组态分析确定了多个条件变量对数学焦虑影响的四条路径。值得注意的是,即使是数学成绩高且有学习兴趣的学生,由于缺乏实际的家长支持和学习动机,仍然会经历数学焦虑。高水平的家长支持在两种情况下会加剧学生的数学焦虑:1)缺乏学习动机和学习计划;2)有学习兴趣但数学成绩低且学习计划不明确。
本研究强调了考虑数学焦虑综合影响的必要性,研究结果将有助于教育工作者和研究人员识别学生群体中数学焦虑的不同特征。