Intervention variability is measured using various statistical methods and study designs. Researchers often use randomized controlled trials (RCTs), cohort studies, and meta-analyses to assess the effectiveness of interventions across different groups and settings. Advanced statistical techniques, such as multivariate analysis and mixed-effects models, can help isolate the factors contributing to variability.
