Counseling researchers often examine correlated predictors such as depression, anxiety, PTSD, and substance misuse when studying clinical outcomes. Hierarchical regression may obscure relative importance when constructs overlap. This session introduces dominance analysis, a method that clarifies predictor importance across regression models. Participants will learn how dominance analysis improves interpretation of counseling assessment data and informs research and clinical decision-making.
