Schweickert R, Giorgini M, Dzhafarov E
Purdue University
J Math Psychol. 2000 Dec;44(4):504-535. doi: 10.1006/jmps.1999.1268.
We analyze sets of mental processes, some of which are concurrent and some of which are sequential, under the assumption that the processes are partially ordered, that is, arranged in a directed acyclic network. Information about the process arrangement can be discovered by examining the effects on response time of selectively influencing process durations. Previous work has mainly focused on analyses of mean response times. Here we consider analyses based on cumulative distribution functions, for one of the major classes of directed acyclic networks, serial-parallel networks. When two processes are selectively influenced, patterns in the cumulative distribution functions can be used to test whether the processes are sequential or concurrent and whether the task network has AND gates or OR gates. Cumulative distribution functions are potentially more informative than means, and some previous results for means are shown to follow from our results for cumulative distribution functions. Copyright 2000 Academic Press.
我们在心理过程部分有序（即排列成有向无环网络）的假设下，分析心理过程集，其中一些过程是并发的，一些是顺序的。通过检查选择性影响过程持续时间对响应时间的影响，可以发现有关过程排列的信息。先前的工作主要集中在平均响应时间的分析上。在这里，我们针对有向无环网络的主要类别之一——串并联网络，考虑基于累积分布函数的分析。当两个过程受到选择性影响时，累积分布函数中的模式可用于测试这些过程是顺序的还是并发的，以及任务网络是否具有与门或或门。累积分布函数可能比均值更具信息性，并且一些先前关于均值的结果可以从我们关于累积分布函数的结果中推导出来。版权所有2000年学术出版社。
