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