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The typicality ranking task: A new method to derive typicality judgments from children

机译:典型性排序任务:一种从儿童中得出典型性判断的新方法

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摘要

An alternative method for deriving typicality judgments, applicable in young children that are not familiar with numerical values yet, is introduced, allowing researchers to study gradedness at younger ages in concept development. Contrary to the long tradition of using rating-based procedures to derive typicality judgments, we propose a method that is based on typicality ranking rather than rating, in which items are gradually sorted according to their typicality, and that requires a minimum of linguistic knowledge. The validity of the method is investigated and the method is compared to the traditional typicality rating measurement in a large empirical study with eight different semantic concepts. The results show that the typicality ranking task can be used to assess children’s category knowledge and to evaluate how this knowledge evolves over time. Contrary to earlier held assumptions in studies on typicality in young children, our results also show that preference is not so much a confounding variable to be avoided, but that both variables are often significantly correlated in older children and even in adults.
机译:介绍了一种用于推导典型判断的替代方法,该方法适用于尚不熟悉数值的幼儿,使研究人员可以在概念开发中研究年龄较小的分级。与使用基于评级的程序来得出典型性判断的悠久传统相反,我们提出了一种基于典型性排名而不是评级的方法,其中,根据项的典型性对项进行逐步排序,并且需要最少的语言知识。在具有八个不同语义概念的大型实证研究中,研究了该方法的有效性,并将其与传统的典型性等级度量进行了比较。结果表明,典型性排名任务可用于评估儿童的类别知识并评估该知识随时间的演变。与较早的关于儿童典型性研究的假设相反,我们的结果还表明,偏好并不是要避免的混杂变量,而在较大的儿童甚至成年人中,这两个变量通常都具有显着的相关性。

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