Presenter:  Richard Schweickert
Presentation type:  Talk
Presentation date/time:  7/27  10:30-10:55
 
Factors Selectively Influencing Processes in Multinomial Processing Trees
 
Richard Schweickert, Purdue University
Shengbao Chen, Purdue University
 
Suppose a memory task is carried out by executing processes in a multinomial processing tree, with two categories of terminal vertices, say correct and incorrect. Suppose changing the level of one experimental factor changes the probabilities on edges descending from a single vertex, and changing the level of another experimental factor changes the probabilities on edges descending from another single vertex. In earlier work, we showed that if each factor changes probabilities on exactly two edges, then the multinomial processing tree underlying the task is equivalent to one of two relatively simple trees. Here we allow each factor to change the probabilities on any number of edges. We show that only one more tree need be considered. That is, the tree underlying the task is equivalent to either one of the two trees presented earlier, or to a new relatively simple tree.