一般能力水平 适度 数学的认知成就关系
Christopher R Niileksela1, Jacob Robbins2, Daniel B Hajovsky2
1Department of Educational Psychology, University of Kansas, Lawrence, KS 66045, USA.
Journal of Intelligence
|June 25, 2025
概括
斯皮尔曼减少回报定律 (SLODR) 显示,一般智力对能力较低的学生的影响更大. 较高的一般认知能力在平均和高能力学习者中更好地预测数学技能.
科学领域:
- 认知心理学 认知心理学
- 教育心理学教育心理学
- 心理测量 心理测量 心理测量
背景情况:
- 斯皮尔曼减少回报定律 (SLODR) 假定一般智力和广泛的认知能力在基于一般能力水平的学术技能上的差异性预测能力.
- 有限的研究已经探索了认知-数学关系如何在不同的一般认知能力层之间有所不同.
研究的目的:
- 调查认知能力和数学之间的关系是否在学龄儿童的一般认知能力的不同水平上有所不同.
- 测试斯皮尔曼减少回报定律对认知数学领域的适用性.
主要方法:
- 利用多组结构方程建模来分析来自伍德考克-约翰逊成就测试第三和第四版的大型标准化样本的数据.
- 在两个不同的学龄组中检查了认知-数学关系:年级1-5和年级6-12.
主要成果:
- 确认认知能力和数学表现之间的关系取决于一般能力水平.
- 对于具有较低一般能力的个人来说,一般智能对数学结果的相对影响更强.
- 广泛的认知能力对具有平均和高一般能力的人在数学上表现出更强的相对预测效应.
结论:
- 这些发现支持对认知-数学关系的细微理解,与来自斯皮尔曼减少回报定律的预测保持一致.
- 在预测数学技能方面,一般智力与广泛认知能力的相对重要性是由个人的整体认知能力所调节的.
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