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Experimental Bias in Number-Line Tasks and How to Avoid Them: Comment on Kim and Opfer (2017) and the Introduction of the Cohen Ray Number-Line Task

机译:数字线任务的实验偏见以及如何避免它们:评论Kim和Opfer(2017)和Cohen Ray Number-Line任务的引入

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摘要

Kim and Opfer (2017) report data that demonstrate children produce a negatively accelerating (e.g., logarithmic) response pattern in the unbounded number-line task. This pattern of results is the opposite of those generally reported for the unbounded number-line task (e.g., Cohen & Blanc-Goldhammer, 2011; Cohen & Sarnecka, 2014). We believe Kim and Opfer's (2017) experimental procedure inadvertently biased participants' data in the unbounded task. Here, we (a) outline the factors that induce experimental bias in computerized number-line tasks, (b) identify the likely source of experimental bias in Kim and Opfer (2017) that led to the negatively accelerating pattern of data, (c) introduce a new number-line variation (the universal number-line task), and (d) introduce a publicly available, open source number-line task that provides researchers with a simple, robust, and correct method for collecting data on the unbounded, bounded, and universal number-line tasks. We conclude that Kim and Opfer's (2017) implementation of the unbounded number-line is biased, and therefore cannot provide meaningful support for the log-to-linear shift hypothesis.
机译:Kim和Opfer(2017)报告数据展示儿童在无限的数字任务中产生负加速(例如,对数)响应模式。这种结果模式与普遍报告的无限数线任务的结果相反(例如,Cohen&Blanc-Goldhammer,2011; Cohen&Sarnecka,2014)。我们认为Kim和Oper的(2017)实验程序无意中偏向于无限制的任务中的参与者的数据。在这里,我们(a)概述了计算机化号码任务中的实验偏差的因素,(b)确定KIM和欧芹(2017)中的实验偏差的可能源,导致数据的负面加速模式(c)介绍新的数字 - 线变化(通用号码线任务),(d)引入公开的开源编号行任务,为研究人员提供了一种简单,强大,更正的方法,用于收集无限的数据,有界和通用号码的任务。我们得出结论,Kim和Oper的(2017)偏离了无限数线的实施,因此无法为日志到线性换档假设提供有意义的支持。

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