This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 361
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
Sponsor: ENAR
Abstract - #307485
Title: Linear Mixed Models for Assessing Longitudinal Mediation
Author(s): Mark Beasley*+ and Robert Makowsky and Yu-Mei Schoenberger
Companies: The University of Alabama at Birmingham and The University of Alabama at Birmingham and The University of Alabama at Birmingham
Address: 1665 University Boulevard, Birmingham, AL, 35294,
Keywords: Mixed Model ; Mediation
Abstract:

Mediational processes often unfold over time. Cross-sectional approaches to mediation generate biased estimates of longitudinal parameters even under the ideal conditions (Maxwell & Cole, 2007). Bauer et al. (2006) proposed procedures for evaluating direct, indirect, and total effects in multilevel models when all variables are measured at the lower-level and all effects are random. They discussed the model as a nested structure; however, there are many intricacies with covariance structures of longitudinal models that do not occur in nested data. In the multilevel longitudinal analysis framework, time-varying covariates are considered lower-level mediators. We propose linear mixed mediation analyses that will incorporate both time-invariant (upper-level) and time-varying (lower-level) covariates as putative mediating variables through individual level models of longitudinal outcomes.


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