Studying children's growth in self‐regulation using changing measures to account for heterotypic continuity: A Bayesian approach to developmental scaling

Hosch, Alexis; Oleson, Jacob; Harris, Jordan L.; Goeltz, Mary Taylor; Neumann, Tabea; LeBeau, Brandon; Hazeltine, Eliot; Petersen, Isaac T. · 2022 · Developmental Science

DOI: 10.1111/desc.13280

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Summary

This study addresses the challenge of measuring the development of self-regulation in children, a construct characterized by heterotypic continuity—where individual differences persist, but behavioral manifestations change across development. Traditional longitudinal studies often use identical measures over time, which may fail to capture age-appropriate expressions of self-regulation or maintain construct validity. To resolve this, the authors aimed to chart children’s growth in self-regulation from ages 3 to 7 years using a novel approach that accounts for these changing manifestations. The researchers employed an accelerated longitudinal design with 108 children, assessed every nine months across four time points. The study utilized a comprehensive battery of 17 measures, including 15 performance-based tasks and two questionnaires, administered by three different raters. These measures covered facets such as inhibitory control, delayed gratification, sustained attention, and executive functions. Crucially, the study used different measures at different ages to ensure construct validity while retaining some common measures to link the data. To integrate these varying assessments, the authors developed a Bayesian longitudinal mixed model for developmental scaling. This statistical approach linked the differing measures onto a single latent scale, allowing for accurate estimation of individual growth trajectories despite the changing nature of the assessments. The results indicated rapid growth in self-regulation between ages 3 and 6, followed by a deceleration around age 7, consistent with prior theoretical models. The developmental scaling approach successfully linked the heterogeneous measures, providing a unified metric of self-regulation development. As a validation of this method, the study found that higher levels of scaled self-regulation were significantly associated with better school readiness, specifically in math and reading skills, and fewer externalizing behavioral problems. These findings confirm the criterion validity of the scaled measure and support the hypothesis that self-regulation is a robust predictor of early childhood adjustment and academic outcomes. The significance of this work lies in its methodological innovation and its implications for developmental science. By demonstrating that developmental scaling can effectively account for heterotypic continuity, the study provides a framework for studying self-regulation across the lifespan without being constrained by the limitations of static measurement tools. This approach allows for more accurate growth estimates and facilitates the integration of diverse regulatory processes into a coherent developmental model. The findings underscore the importance of adapting measurement strategies to developmental changes and offer a template for future research aiming to capture the dynamic nature of psychological constructs in childhood.

Key finding

Children exhibit rapid growth in self-regulation between ages 3 and 6, and higher self-regulation levels are associated with improved school readiness and reduced externalizing problems.

Methodology

lab_experiment

Sample size: 108

Provenance

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