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Dissociating number line estimations from underlying numerical representations

机译:将数字线估计与基础数字表示分离

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Estimation patterns in the number line task are usually interpreted to indicate the (logarithmic or linear) nature of the underlying mental number line. However, indicators of the to-be-achieved linear representation may also be confounded with task requirements or strategies to achieve optimal task performance. In this study, we dissociated correct task performance from indices of a linear representation. Therefore, we designed an experiment in which adults and first graders had to learn number-to-space mappings of nonlinear functions. For adults, we found better fits of the corresponding functions than a linear function after just a few minutes of training. For most first graders, estimation patterns were not fitted better by a logarithmic function when they had to learn a logarithmic layout. Thus, estimation patterns produced in the number line estimation task do not necessarily allow for valid inferences on the underlying representation of number magnitude.
机译:数字行任务中的估计模式通常被解释为指示基本心理数字行的(对数或线性)性质。但是,要实现的线性表示的指标也可能与任务要求或策略混淆,以实现最佳任务性能。在这项研究中,我们从线性表示的指数中分离出正确的任务绩效。因此,我们设计了一个实验,其中成年人和一年级学生必须学习非线性函数的数到空间映射。对于成年人,经过短短几分钟的训练,我们发现对应函数比线性函数更好。对于大多数一年级学生来说,当他们必须学习对数布局时,估计模式不能通过对数函数更好地拟合。因此,在数字线估计任务中产生的估计模式不一定允许对数字幅度的基本表示进行有效推断。

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