MIXED-EFFECTS MODEL
Defining the Mixed-Effects Model (Core Concepts) The mixed-effects model represents a fundamental advancement in statistical methodology, particularly within the fields of psychology, biology, and social sciences, where data often exhibit complex, non-independent structures. This sophisticated modeling framework is specifically designed for the evaluation of variance when an experimenter assumes that some predictor variables are fixed […]