使用认知诊断模型来评估矩阵推理的两过程理论
Julian Preuß1, Franzis Preckel1
1Department of Psychology, Trier University, D-54286 Trier, Germany.
Journal of Intelligence
|February 25, 2025
概括
图形矩阵中的项目特征推理可能独立地影响难度,而不是乘法. 变更规则和设计原则分别对解决问题的需求作出贡献.
科学领域:
- 认知心理学 认知心理学
- 心理测量 心理测量 心理测量
- 教育评估的教育评估.
背景情况:
- 图形矩阵评估推理能力,性能与寻找对应 (诱导) 和目标管理 (工作记忆) 相关.
- 认知理论假定物品特征 (变更规则,设计原则) 相互作用以多重方式影响图形矩阵难度.
研究的目的:
- 测试图形矩阵中的项目难度上的乘法效应假设.
- 为了比较加法和乘法认知诊断模型,以了解项目参数重建.
主要方法:
- 对633名高能力人进行了26项图形矩阵测试.
- 应用线性物流测试模型 (LLTM) 和最小平方距离方法 (LSDM) 对项目参数.
- 使用了Rash和2PL项目参数估计技术.
主要成果:
- 与假设相反,添加式LLTM模型与LSDM相比,在具有乘法效应的情况下,显示出优异的项目参数重建.
- 研究结果表明,变更规则和设计原则独立地导致图形矩阵难度.
- 发现对应性主要与设计原则有关,而改变规则则则影响目标管理需求.
结论:
- 添加模型更好地解释了项目难度,挑战了乘法效应假设.
- 项目组件,特别是现象表征,对于理解图形矩阵解决过程至关重要.
- 结果对改进认知理论和改进图形矩阵项目的构建有意义.
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