Department of Psychology, The Ohio State University.
Dev Psychol. 2020 Apr;56(4):853-860. doi: 10.1037/dev0000886.
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. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
金和奥弗(2017)发现,当明确标记上限(例如 100 或 1000)(有界条件)或没有标记上限(无界条件)时,数字线估计值随数字呈对数增加。根据科恩和雷(2020)的程序建议,我们检查了这种对数性是否可能来自于对提供的响应空间的限制。与我们之前的发现一致,无论任务是否有界,对数性都很明显,对数性与估计值的数值有关,而与响应空间本身无关。我们还发现了数字估计值从对数到线性的明显转变。贝叶斯建模的结果支持这样一种观点,即无界任务与有界任务本质上是相似的,但无界任务会导致更大的对数性。我们的研究结果支持金和奥弗(2017)的原始发现,并将其普遍性扩展到更多的年龄组和更多种类的数字线估计。(PsycINFO 数据库记录(c)2020 APA,保留所有权利)。