Title :
Significance Testing of Rules in Rule-Based Models of Human Problem Solving
Author :
Lewis, C. Michael ; Hammer, John M.
Author_Institution :
Center for Man-Machine Systems Research, Georgia Institute of Technology, Atlanta, GA 30332, USA
Abstract :
Rule-based models of human problem solving have typically not been tested for statistical significance. Three methods of testing rules ¿analysis of variance, randomization, and contingency tables¿are presented. Advantages and disadvantages of the methods are also described.
Keywords :
Analysis of variance; Humans; Knowledge based systems; Man machine systems; Problem-solving; Testing; Traffic control;
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
DOI :
10.1109/TSMC.1986.289292
