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TEMA and Dot Enumeration Profiles Predict Mental Addition Problem Solving Speed Longitudinally

机译:TEMA和点枚举配置文件纵向预测心理加成问题的解决速度

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摘要

Different math indices can be used to assess math potential at school entry. We evaluated whether standardized math achievement (TEMA-2 performance), core number abilities (dot enumeration, symbolic magnitude comparison), non-verbal intelligence (NVIQ) and visuo-spatial working memory (VSWM), in combination or separately, predicted mental addition problem solving speed over time. We assessed 267 children’s TEMA-2, magnitude comparison, dot enumeration, and VSWM abilities at school entry (5 years) and NVIQ at 8 years. Mental addition problem solving speed was assessed at 6, 8, and 10 years. Longitudinal path analysis supported a model in which dot enumeration performance ability profiles and previous mental addition speed predicted future mental addition speed on all occasions, supporting a componential account of math ability. Standardized math achievement and NVIQ predicted mental addition speed at specific time points, while VSWM and symbolic magnitude comparison did not contribute unique variance to the model. The implications of using standardized math achievement and dot enumeration ability to index math learning potential at school entry are discussed.
机译:不同的数学指数可用于评估入学时的数学潜力。我们评估了标准化的数学成绩(TEMA-2成绩),核心数能力(点枚举,符号幅度比较),非语言智能(NVIQ)和视觉空间工作记忆(VSWM)是组合还是单独预测了预期的心理加法随着时间的流逝解决问题的速度。我们评估了267名儿童的入学(5岁)和8岁时的NVIQ的TEMA-2,量级比较,点枚举和VSWM能力。评估心理附加问题的速度为6、8和10年。纵向路径分析支持一个模型,在该模型中,点枚举的能力概况和先前的心理加法速度在所有情况下均会预测未来的心理加法速度,从而支持数学能力的部分说明。标准化的数学成绩和NVIQ可以预测特定时间点的心理加法速度,而VSWM和符号幅度比较并不会为模型带来独特的差异。讨论了使用标准化的数学成绩和点枚举能力来索引入学时数学学习潜力的含义。

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