The article introduces a method called latent variable mixture modeling to help pediatric psychologists analyze complex data. This method groups individuals with similar patterns in their data to understand how these patterns relate to other factors. The researchers used this approach to analyze data from the Early Childhood Longitudinal Study and found different groups of children with similar growth patterns over time. This technique can help psychologists identify common trends in data and understand how these trends may be linked to specific variables.