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Leveraging Latent Growth Modeling To Understand Antecedents and Consequences of Self-Regulation from Early-Childhood to Adolescence

Fri, March 24, 3:30 to 5:00pm, Salt Palace Convention Center, Floor: 3, Meeting Room 355 D

Session Type: Paper Symposium

Abstract

Self-regulation is a prominent protective factor for children’s development over time. The contextual factors, such as parenting behaviors, socioeconomic status, and psychopathology that interact and contribute to the variability of the self-regulation trajectory, are crucial to further investigation. In this symposium, we represent the antecedents and consequences of self-regulation developmental trajectories in four diverse samples across early childhood to adolescence. Paper 1 uses Latent Class Growth Analysis to uncover trajectories of sensitive and intrusive maternal parenting in the first three years of the child’s life and their implications for children’s growth of executive function from age 3 to 5 with data from the Family Life Project. Paper 2 investigates the level and rate of change in socioeconomic status and its association with developmental trajectories of both executive function and emotion regulation longitudinally through bivariate growth curve modeling on a regionally representative adolescent sample. Paper 3 examines how facets of self-regulation contribute to distinct and co-developing internalizing and externalizing trajectories among children transitioning to adolescence using Growth Mixture Modeling with the Adolescent Brain Cognitive Development Study. Paper 4 leverages Growth Mixture Modeling to uncover self-regulation trajectories from early childhood to adolescence and investigate how each trajectory is uniquely associated with adolescent behavioral outcomes in the Fragile Families and Child Wellbeing Study. These papers demonstrate the multidimensionality of contextual factors' influences on self-regulation by utilizing a person-centered approach and emphasize the importance of understanding the regulatory processes underlying behavioral trajectories in diverse populations.

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