Growth mixture models (GMMs) are applied to intervention studies with repeated measures to explore heterogeneity in the intervention effect. However, traditional GMMs are known to be difficult to estimate, especially at sample sizes common in single-center interventions. Common strategies to coerce GMMs to converge involve post hoc adjustments to…

Previous studies have suggested the impact of intervention fidelity on the management and prevention of chronic diseases; however, little is known about the effect of the contributing determinants (at multiple levels of influence) that can impact health-related interventions intending to improve the health status of Hispanic adolescents with…