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State-trace analysis can be an appropriate tool for assessing the number of cognitive systems: A reply to Ashby (2014)

机译:状态跟踪分析可能是评估认知系统数量的合适工具:对Ashby(2014)的回复

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Ashby (2014) has argued that state-trace analysis (STA) is not an appropriate tool for assessing the number of cognitive systems, because it fails in its primary goal of distinguishing single-parameter and multiple-parameter models. We show that this is based on a misunderstanding of the logic of STA, which depends solely on nearly universal assumptions about psychological measurement and clearly supersedes inferences based on functional dissociation and the analysis of interactions in analyses of variance. We demonstrate that STA can be used to draw inferences concerning the number of latent variables mediating the effects of a set of independent variables on a set of dependent variables. We suggest that STA is an appropriate tool to use when making arguments about the number of cognitive systems thatmust be posited to explain behavior. However, no statistical or inferential procedure is able to provide definitive answers to questions about the number of cognitive systems, simply because the concept of a “system” is not defined in an appropriate way.
机译:Ashby(2014)认为状态追踪分析(STA)并不是评估认知系统数量的合适工具,因为它未能达到区分单参数模型和多参数模型的主要目标。我们表明,这是基于对STA逻辑的误解,它仅依赖于关于心理测量的几乎普遍的假设,并且明显取代了基于功能分离和方差分析中相互作用分析的推论。我们证明了STA可用于得出有关潜在变量数量的推断,这些潜在变量介导一组独立变量对一组因变量的影响。我们建议,当对必须提出来解释行为的认知系统的数量进行论证时,STA是一种合适的工具。然而,仅仅因为“系统”的概念没有以适当的方式定义,所以统计或推论方法都无法对有关认知系统数量的问题提供明确的答案。

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