Developmental scientists are often interested in subgroups of people who share commonalities in aspects of development; these subgroups often cannot be captured directly but instead must be inferred from other information. Mixture models can be used in these situations. Two specific types of mixture models, latent profile transition analyses and…

The authors' approach to using pattern-centered analyses and longitudinal data addresses how configurations of personal and contextual factors forecast the educational achievement and attainments of different youth across adolescence. Here, they discuss various types of pattern-centered analyses and provide an empirical illustration of how these…