Comparing Models of Change to Estimate the Mediated Effect in the Pretest–Posttest Control Group Design
Article
Valente, MJ, MacKinnon, DP. (2017). Comparing Models of Change to Estimate the Mediated Effect in the Pretest–Posttest Control Group Design
. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 24(3), 428-450. 10.1080/10705511.2016.1274657
Valente, MJ, MacKinnon, DP. (2017). Comparing Models of Change to Estimate the Mediated Effect in the Pretest–Posttest Control Group Design
. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 24(3), 428-450. 10.1080/10705511.2016.1274657
Models to assess mediation in the pretest–posttest control group design are understudied in the behavioral sciences even though it is the design of choice for evaluating experimental manipulations. The article provides analytical comparisons of the four most commonly used models to estimate the mediated effect in this design: analysis of covariance (ANCOVA), difference score, residualized change score, and cross-sectional model. Each of these models is fitted using a latent change score specification and a simulation study assessed bias, Type I error, power, and confidence interval coverage of the four models. All but the ANCOVA model make stringent assumptions about the stability and cross-lagged relations of the mediator and outcome that might not be plausible in real-world applications. When these assumptions do not hold, Type I error and statistical power results suggest that only the ANCOVA model has good performance. The four models are applied to an empirical example.
