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序列回忆中痕迹再整合的约束拉施模型。

A constrained rasch model of trace redintegration in serial recall.

作者信息

Roodenrys Steven, Miller Leonie M

机构信息

Department of Psychology, University of Wollongong, Wollongong, New South Wales, Austmralia.

出版信息

Mem Cognit. 2008 Apr;36(3):578-87. doi: 10.3758/mc.36.3.578.

Abstract

The notion that verbal short-term memory tasks, such as serial recall, make use of information in long-term as well as in short-term memory is instantiated in many models of these tasks. Such models incorporate a process in which degraded traces retrieved from a short-term store are reconstructed, or redintegrated (Schweickert, 1993), through the use of information in long-term memory. This article presents a conceptual and mathematical model of this process based on a class of item-response theory models. It is demonstrated that this model provides a better fit to three sets of data than does the multinomial processing tree model of redintegration (Schweickert, 1993) and that a number of conceptual accounts of serial recall can be related to the parameters of the model.

摘要

诸如系列回忆等言语短期记忆任务会利用长期记忆和短期记忆中的信息,这一观点在许多此类任务的模型中都有体现。这类模型纳入了一个过程,即从短期存储中检索出的退化痕迹通过利用长期记忆中的信息进行重建或重新整合(施韦克特,1993)。本文基于一类项目反应理论模型提出了该过程的概念性和数学模型。结果表明,与重新整合的多项式加工树模型(施韦克特,1993)相比,该模型对三组数据的拟合度更好,并且系列回忆的一些概念性解释可以与模型的参数相关联。

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