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首页> 外文期刊>Developmental psychology >Compression Is Evident in Children's Unbounded and Bounded Numerical Estimation: Reply to Cohen and Ray (2020)
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Compression Is Evident in Children's Unbounded and Bounded Numerical Estimation: Reply to Cohen and Ray (2020)

机译:在儿童无限和有界数值估计中,压缩是显而易见的:回复科恩和雷(2020)

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Kim and Opfer (2017) found that number-line estimates increased approximately logarithmically with number when an upper bound (e.g., 100 or 1000) was explicitly marked (bounded condition) and when no upper bound was marked (unbounded condition). Using procedural suggestions from Cohen and Ray (2020), we examined whether this logarithmicity might come from restrictions on the response space provided. Consistent with our previous findings, logarithmicity was evident whether tasks were bounded or unbounded, with the degree of logarithmicity tied to the numerical value of the estimates rather than the response space per se. We also found a clear log-to-linear shift in numerical estimates. Results from Bayesian modeling supported the idea that unbounded tasks are qualitatively similar to bounded ones, but unbounded ones lead to greater logarithmicity. Our findings support the original findings of Kim and Opfer (2017) and extend their generality to more age groups and more varieties of number-line estimation.
机译:Kim和Oper(2017)发现,当明确标记(有界条件)的上限(例如,100或1000)和标记上限时(无界条件)时,数字线估计数量大致数量增加。使用Cohen和Ray(2020)的程序建议,我们检查了该对数性是否可能来自所提供的响应空间的限制。与我们之前的发现一致,对数是明显的,是否有界限或未绑定的任务,对数程度与估计的数值相关,而不是响应空间本身。我们还发现了在数值估计中的明确记录线性偏移。贝叶斯建模的结果支持了未绑定的任务与有界性相似的想法,但无限的,而且导致更大的对数。我们的调查结果支持Kim和Opfer(2017)的原始调查结果,并将其普遍延长到更多年龄群体和更多品种的数字线估计。

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