Abstract:
|
A model that includes both a mediation and moderation component is known as a conditional process model, in which the direct and/or indirect effect of independent variable X (e.g., perceived ethnic discrimination) on dependent variable Y (e.g., binge drinking) though mediator M (e.g., self-esteem) is moderated by or conditioned on one or more variables, for example W or Z (e.g., gender). A conditional process model can include moderation of more than one path in the causal sequence. The effect of X on M and the effect of M on Y can be moderated by a common variable W. We extend this scenario to multiple mediators Mi, moderators Wi, and combination of two. We present conceptual models, statistical models, and apply it to the motivating data set via regression-based approach and SAS PROCESS macro.
|