Artifactual power curves in forgetting
Artifactual power curves in forgetting
复制标题
DOI：
10.3758/bf03211315
复制
发表时间：
1997-09-01
影响因子：
2.4
通讯作者：
Tweney, RD
中科院分区：
文献类型：
--
作者：
Anderson, RB;Tweney, RD
最近对时间和遗忘之间的数学关系的研究表明，它是一个幂函数而不是指数函数，这一发现具有重要的理论意义。通过对已发表数据的计算分析和再分析，证明指数曲线的算术平均可以产生伪功率曲线，特别是当组分曲线的斜率之间存在较大的系统差异时。一系列的模拟表明，当分量曲线的斜率是正态分布或矩形分布时，并且当性能测量是无噪声时，功率伪影的量是小的。然而，模拟还表明，伪影可能相当大，这取决于噪声分布的形状和性能范围的限制。我们的结论是，索赔有关的形式记忆功能应考虑是否数据可能包含人工造成的平均或存在范围限制的噪声。
Recent studies of the mathematical relationship between time and forgetting suggest that it is a power function rather than an exponential function, a finding that has important theoretical consequences. Through computational analysis and reanalyses of published data, toe demonstrate that arithmetic averaging of exponential curves can produce an artifactual power curve, particularly when there are large and systematic differences among the slopes of the component curves. A series of simulations showed that the amount of power artifact is small when the slopes of the component curves are normally or rectangularly distributed and when the performance measure is noise free. However, the simulations also showed that the artifact can be quite large, depending on the shape of the noise distribution and restrictions in the performance range. We conclude that claims concerning the form of memory functions should consider whether the data are likely to contain artifact caused by averaging or by the presence of range-restricted noise.