JSM 2004 - Toronto

Abstract #301500

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Activity Number: 430
Type: Contributed
Date/Time: Thursday, August 12, 2004 : 10:30 AM to 12:20 PM
Sponsor: General Methodology
Abstract - #301500
Title: Path Analysis with Logistic Regression
Author(s): Scott Menard*+
Companies: University of Colorado
Address: Institute of Behavioral Science #9, Boulder, CO, 80303,
Keywords: logistic regression ; path analysis ; indirect effects ; nonrecursive models ; recursive models
Abstract:

Early attempts to blend logit analysis with path analysis for causal modeling, beginning with the work of Leo Goodman more than 30 years ago, were largely unsuccessful, abandoned because of technical difficulties in the quantification and interpretation of indirect effects involving nonquantitative variables. Now, with the development of alternative standardized coefficients for multiple logistic regression analysis, it is possible to model causal relationships using path analysis in which logistic regression is used by itself, or in a model that mixes logistic and linear regression for a combination of dichotomous, nominal, and interval/ratio/continuous variables. This makes possible an intuitively plausible quantification of indirect effects and decomposition of explained variance. The model for Path Analysis with Logistic Regression (PALR) will be illustrated, beginning with simple bivariate relationships and extended to recursive and nonrecursive models.

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Revised March 2004