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十进制比较中的竞争数值大小代码:整数和有理数距离都影响表现。

Competing numerical magnitude codes in decimal comparison: Whole number and rational number distance both impact performance.

机构信息

Department of Psychology, Rutgers University, Newark, USA.

School of Interactive Computing and School of Psychology, Georgia Tech, USA.

出版信息

Cognition. 2023 Dec;241:105608. doi: 10.1016/j.cognition.2023.105608. Epub 2023 Oct 5.

Abstract

A critical difference between decimal and whole numbers is that among whole numbers the number of digits provides reliable information about the size of the number, e.g., double-digit numbers are larger than single-digit numbers. However, for decimals, fewer digits can sometimes denote a larger number (i.e., 0.8 > 0.27). Accordingly, children and adults perform worse when comparing such Inconsistent decimal pairs relative to Consistent pairs, where the larger number also has more digits (i.e., 0.87 > 0.2). Two explanations have been posited for this effect. The string length congruity account proposes that participants compare each position in the place value system, and they additionally compare the number of digits. The semantic interference account suggests that participants additionally activate the whole number referents of numbers - the numbers unadorned with decimal points (e.g., 8 < 27) - and compare these. The semantic interference account uniquely predicts that for Inconsistent problems with the same actual rational distance, those with larger whole number distances should be harder, e.g., 0.9 vs. 0.81 should be harder than 0.3 vs. 0.21 because 9 < < 81 whereas 3 < 21. Here we test this prediction in two experiments with college students (Study 1: n = 58 participants, Study 2: n = 78). Across both, we find a main effect of consistency, demonstrating string length effects, and also that whole number distance interferes with processing conflicting decimals, demonstrating semantic interference effects. Evidence for both effects supports the semantic interference account, highlighting that decimal comparison difficulties arise from multiple competing numerical codes. Finally, for accuracy we found no relationship between whole number distance sensitivity and math achievement, indicating that whole number magnitude interference affects participants similarly across the spectrum of math achievement.

摘要

十进制数和整数的一个关键区别在于,在整数中,数字的数量提供了关于数字大小的可靠信息,例如,两位数大于一位数。然而,对于小数,较少的数字有时可以表示较大的数字(即 0.8 > 0.27)。因此,儿童和成人在比较这种不一致的小数对与一致的小数对(较大的数也有更多的数字,即 0.87 > 0.2)时表现更差。对于这种效应,已经提出了两种解释。字符串长度一致性解释认为,参与者在数值系统的每个位置进行比较,并且他们还比较数字的位数。语义干扰解释认为,参与者还会激活数字的整数参照——没有小数点的数字(例如 8 < 27)——并进行比较。语义干扰解释独特地预测,对于具有相同实际理性距离的不一致问题,那些具有更大整数距离的问题应该更难,例如 0.9 与 0.81 相比,0.3 与 0.21 更难,因为 9 < < 81 而 3 < 21。在这里,我们在两项大学生实验中(研究 1:n = 58 名参与者,研究 2:n = 78 名参与者)检验了这一预测。在这两项研究中,我们都发现了一致性的主要影响,证明了字符串长度的影响,并且整数距离也干扰了对冲突小数的处理,证明了语义干扰的影响。这两种效应的证据都支持语义干扰解释,强调了小数比较困难是由于多种竞争的数值代码引起的。最后,对于准确性,我们发现整数距离敏感性与数学成绩之间没有关系,这表明整数大小干扰对参与者的影响在整个数学成绩范围内是相似的。

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