This teaching note starts with a demonstration of a straightforward procedure using Mplus Version 6 to produce a bias-corrected (BC) bootstrap confidence interval for testing a specific mediation effect in a complex latent variable model. The procedure is extended to constructing a BC bootstrap confidence interval for the difference between two specific mediation effects. The extended procedure...

Mediation analysis is a statistical approach used to examine how the effect of an independent variable on an outcome is transmitted through an intervening variable (mediator). In this article, we provide a gentle introduction to single-level and multilevel mediation analyses. Using singlelevel data, we demonstrate an application of structural equation modeling (SEM) in estimating mediation mode...

Mediation analysis is often used to explore the complex relationship between two variables through a third mediating variable. This paper aims illustrate performance of deviance information criterion, pseudo‐Bayes factor, and Watanabe–Akaike criterion in selecting appropriate multilevel mediation model. Our focus will be on comparing conditional criteria (given random effects) versus marginal (...

Testing mediation models is critical for identifying potential variables that need to be targeted to effectively change one or more outcome variables. In addition, it is now common practice for clinicians to use multiple informant (MI) data in studies of statistical mediation. By coupling the use of MI data with statistical mediation analysis, clinical researchers can combine the benefits of bo...

Most law school mediation courses teach a set of problem-solving skills that are seen as useful in lawyering and that are also taught in other lawyering skills courses. By contrast, some mediation courses present a relatively new approach called “transformative mediation” and teach a different set of skills focused primarily on “interactional support” rather than on problem solving. This Articl...