A mental health clinician’s primer on statistical mediation and moderation
Abstract
Statistical literacy is vital to the effective delivery of evidence-based mental healthcare. In this context, mediation and moderation models of mental processes have become increasingly popular, because of their potential to reveal possible causal mechanisms between variables or specific conditions for a given effect to occur. This brief article aims to introduce practicing mental health clinicians to statistical mediation and moderation models, by outlining their conceptual distinction, summarizing the underlying data analysis procedures, and discussing the implications of such models for clinical decision making in mental health practice.
Copyright (c) 2024 Carlos Carona
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