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数字线估计与标准化考试表现:左位数效应不能预测 SAT 数学成绩。

Number line estimation and standardized test performance: The left digit effect does not predict SAT math score.

机构信息

Department of Psychology, Wesleyan University, Middletown, CT, USA.

出版信息

Brain Behav. 2020 Dec;10(12):e01877. doi: 10.1002/brb3.1877. Epub 2020 Oct 19.

Abstract

INTRODUCTION

Recent work reveals a new source of error in number line estimation (NLE), the left digit effect (Lai, Zax, et al., 2018), whereby numerals with different leftmost digits but similar magnitudes (e.g., 399, 401) are placed farther apart on a number line (e.g., 0 to 1,000) than is warranted. The goals of the present study were to: (1) replicate the left digit effect, and (2) assess whether it is related to mathematical achievement.

METHOD

Participants were all individuals (adult college students) who completed the NLE task in the laboratory between 2014 and 2019 for whom SAT scores were available (n = 227).

RESULTS

We replicated the left digit effect but found its size was not correlated with SAT math score, although it was negatively correlated with SAT verbal score for one NLE task version.

CONCLUSIONS

These findings provide further evidence that individual digits strongly influence estimation performance and suggest that this effect may have different cognitive contributors, and predict different complex skills, than overall NLE accuracy.

摘要

简介

最近的研究揭示了数量线估计(NLE)中的一个新误差源,即左位数效应(Lai、Zax 等人,2018 年),即具有不同最左数字但相似大小的数字(例如 399、401)在数量线上的距离比预期的要远(例如,0 到 1000)。本研究的目的是:(1)复制左位数效应,(2)评估它是否与数学成绩有关。

方法

所有参与者均为 2014 年至 2019 年间在实验室完成 NLE 任务且可获得 SAT 成绩的个体(大学生)(n=227)。

结果

我们复制了左位数效应,但发现其大小与 SAT 数学成绩无关,尽管对于一个 NLE 任务版本,它与 SAT 语言成绩呈负相关。

结论

这些发现进一步证明了个体数字对估计表现有很强的影响,并表明这种效应可能具有不同的认知贡献者,并预测不同的复杂技能,而不是整体 NLE 准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66a8/7749540/a4548b378ec6/BRB3-10-e01877-g001.jpg

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