Work

Accuracy of Estimates and Statistical Power for Testing Meditation in Latent Growth Curve Modeling

Year: 2011

Type: article

Abstract: The latent growth curve modeling (LGCM) approach has been increasingly utilized to investigate longitudinal mediation. However, little is known about the accuracy of the estimates and statistical power when mediation is evaluated in the LGCM framework. A simulation study was conducted to address these issues under various conditions including sample size, effect size of mediated effect, number of measurement occasions, and R 2 of measured variables. In general, the results showed that relatively large samples were needed to accurately estimate the mediated effects and to have adequate statistical power, when testing mediation in the LGCM framework. Guidelines for designing studies to examine longitudinal mediation and ways to improve the accuracy of the estimates and statistical power were discussed.

Source: Structural Equation Modeling A Multidisciplinary Journal

DOI: 10.1080/10705511.2011.557334

Author: JeeWon Cheong

Institution: University of Pittsburgh

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funders: National Institute on Alcohol Abuse and Alcoholism, National Institute on Drug Abuse

Awards: Estimating Mediation Effects in Prevention Studies, ANALYSIS OF TEAM-BASED SUBSTANCE ABUSE PREVENTION, Estimating Mediation Effects in Prevention Studies, Prevention of Adolescent Driving Under the Influence