|
Organizers |
Recursive path analysis for categorical variables
by
Haihong Li
University of Florida
Recursive path analysis is a useful tool for causal inference about a chain of three or more response variables in which the causal effects are in one direction. The primary objective in such analysis is to decompose the total effect of each variable into its direct and indirect components. Methods for recursive analysis of a chain of continuous variables are well developed but there is a lack of uniform methodology when the variables are categorical. We propose an approach for categorical response variables that is based on generalized linear models. An illustration using real data is provided.
Date received: March 13, 2007
Copyright © 2007 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # caul-49.