Abstract #302007

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JSM 2003 Abstract #302007
Activity Number: 449
Type: Contributed
Date/Time: Thursday, August 7, 2003 : 8:30 AM to 10:20 AM
Sponsor: Social Statistics Section
Abstract - #302007
Title: Testing an Intervening Variable in Logistic Regression Analysis of Childhood Psychopathology Ratings Using Multiple Reporters
Author(s): Mark R. Reiser*+
Companies: Arizona State University
Address: PO Box 873806, Tempe, AZ, 85287-3806,
Keywords: mediation ; intermediate endpoint ; generalized estimating equations ; SAS PROC GENMOD ; internalizing ; externalizing
Abstract:

Studies of childhood psychopathology frequently use ratings from multiple reporters such as teacher, parent, and peers. For categorical dependent variables, a logistic regression analysis is often performed. Researchers commonly perform a separate analysis for each reporter, or use a single analysis of a composite variable constructed from the separate reports. Both of these approaches have disadvantages. Models that use simulataneous logistic regressions can now be estimated by using either the GEE or likelihood approach. The influence of a risk factor on the expression of psychopathology may be mediated by an intervening variable. When measurements are available from multiple reporters, there is more than one parameter that represents the effect of the intervening variable. This paper presents multivariate tests for the validation of the intervening variable. The GEE and likelihood approaches are compared. An example using measures of "Internalizing" and "Externalizing" is presented.

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