Mediational Analysis in HIV/AIDS Research: Estimating Multivariate Path Analytic Models in a Structural Equation Modeling Framework
 Angela Bryan,
 Sarah J. Schmiege,
 Michelle R. Broaddus
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Mediational analyses have been recognized as useful in answering two broad questions that arise in HIV/AIDS research, those of theoretical model testing and of the effectiveness of multicomponent interventions. This article serves as a primer for those wishing to use mediation techniques in their own research, with a specific focus on mediation applied in the context of path analysis within a structural equation modeling (SEM) framework. Mediational analyses and the SEM framework are reviewed at a general level, followed by a discussion of the techniques as applied to complex research designs, such as models with multiple mediators, multilevel or longitudinal data, categorical outcomes, and problematic data (e.g., missing data, nonnormally distributed variables). Issues of statistical power and of testing the significance of the mediated effect are also discussed. Concrete examples that include computer syntax and output are provided to demonstrate the application of these techniques to testing a theoretical model and to the evaluation of a multicomponent intervention.
 Title
 Mediational Analysis in HIV/AIDS Research: Estimating Multivariate Path Analytic Models in a Structural Equation Modeling Framework
 Journal

AIDS and Behavior
Volume 11, Issue 3 , pp 365383
 Cover Date
 200705
 DOI
 10.1007/s1046100691502
 Print ISSN
 10907165
 Online ISSN
 15733254
 Publisher
 Kluwer Academic PublishersPlenum Publishers
 Additional Links
 Topics
 Keywords

 Mediation
 Path analysis
 Structural equation modeling (SEM)
 Multicomponent interventions
 Industry Sectors
 Authors

 Angela Bryan ^{(1)}
 Sarah J. Schmiege ^{(1)}
 Michelle R. Broaddus ^{(1)}
 Author Affiliations

 1. Department of Psychology, University of Colorado, Muenzinger Psychology Building, UCB 345, Boulder, CO, 803090345, USA