A method for judging measures of stochastic dependence: further comments on the current controversy.
A method for judging measures of stochastic dependence: further comments on the current controversy.
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一种判断随机依赖度量的方法：对当前争议的进一步评论。
DOI：
10.1037//0278-7393.18.2.413
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发表时间：
1992
期刊：
影响因子：
--
通讯作者：
Ostergaard,AL
中科院分区：
文献类型：
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作者：
Ostergaard,AL
关于内隐记忆和外显记忆测量之间的随机独立性已经发表了大量的报道。这通常被认为意味着不同的记忆系统调节内隐和外显记忆的表现。在这些情况下，随机独立性推断从偶然性分析的整体成功率在两个记忆任务时，在一个或两个任务的性能，在很大程度上，介导的记忆以外的因素。通常，在内隐记忆任务中，学习和非学习项目的表现差异不大。有人认为，在评价应急分析时必须考虑到这一点。提出了一种方法，用于估计相关的联合和条件概率，假设在这两个任务中的性能方面是相关的记忆是依赖于最大可能的程度。该方法被应用到一些已发表的研究，它表明，这些估计的概率和随机独立性之间的差异太小，允许任何结论得出关于记忆系统从这些研究中报告的数据的应急分析。
A large number of reports have been published on stochastic independence between implicit and explicit measures of memory. This is often taken to imply that different memory systems mediate implicit and explicit memory performance. In these cases, stochastic independence is inferred from contingency analysis of overall success rates in two memory tasks when performance in one or both of the tasks is, to a large extent, mediated by factors other than memory. Typically, the difference between performance with studied and nonstudied items is not large in implicit memory tasks. It is argued that this must be taken into account when evaluating the contingency analysis. A method is presented for estimating the relevant joint and conditional probabilities, assuming that the aspects of performance in the two tasks that are related to memory are dependent to the maximum possible extent. The method is applied to a number of published studies, and it is shown that the difference between these estimated probabilities and those given by stochastic independence is too small to allow any conclusion to be drawn about memory systems from contingency analysis of data reported in these studies.