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Investigation of Mediational Processes Using Parallel Process Latent Growth Curve Modeling 

Authors: JeeWon Cheong a;  David P. MacKinnon b; Siek Toon Khoo b
Affiliations:   a Department of Psychology, State University of New York at Albany.
b Department of Psychology, Arizona State University.
DOI: 10.1207/S15328007SEM1002_5
Publication Frequency: 4 issues per year
Published in: journal Structural Equation Modeling: A Multidisciplinary Journal, Volume 10, Issue 2 April 2003 , pages 238 - 262
Formats available: PDF (English)
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Abstract

This study investigated a method to evaluate mediational processes using latent growth curve modeling. The mediator and the outcome measured across multiple time points were viewed as 2 separate parallel processes. The mediational process was defined as the independent variable influencing the growth of the mediator, which, in turn, affected the growth of the outcome. To illustrate modeling procedures, empirical data from a longitudinal drug prevention program, Adolescents Training and Learning to Avoid Steroids, were used. The program effects on the growth of the mediator and the growth of the outcome were examined first in a 2-group structural equation model. The mediational process was then modeled and tested in a parallel process latent growth curve model by relating the prevention program condition, the growth rate factor of the mediator, and the growth rate factor of the outcome.
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