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In this article, I describe some advances in the statistical mediation analysis literature that have been made since the turn of the 21^st century.  In particular, I focus on bootstrapping as the preferred method for making inferences about the size of indirect effects, and I show by example that one need not condition the quest for indirect effects on a statistically significant total effect.  I also describe moderated mediation, mediated moderation, and some of the problems with current measures of effect size.  Although the content and examples are tailored to the field of communication, the basic principles I describe here can be applied to any field of scholarship.