Workshop: Introduction to Causal Mediation

Causal mediation analysis describes and evaluates assumptions necessary to estimate causal effects, such as indirect effects. This workshop introduces researchers to these methods and how they can be used in concert with statistical mediation analysis in psychological research, using real data examples and example code in R.

Prerequisites:
• Familiarity with statistical mediation analysis as typically used in psychology research (i.e., estimation of separate regression equations, calculation of the indirect effect as the product of two effect, bootstrapping for inference of indirect effects).
• Working familiarity (basic data handling) with R. No specific package familiarity required.