University of Rhode Island, Kingston, RI, United States.
University of Michigan, Ann Arbor, MI, United States.
Adv Child Dev Behav. 2023;64:289-326. doi: 10.1016/bs.acdb.2022.10.006. Epub 2022 Nov 30.
Developmental cascades describe how systems of development interact and influence one another to shape human development across the lifespan. Despite its popularity, developmental cascades are commonly used to understand the developmental course of psychopathology, typically in the context of risk and resilience. Whether this framework can be useful for studying children's educational outcomes remains underexplored. Therefore, in this chapter, we provide an overview of how developmental cascades can be used to study children's academic development, with a particular focus on the biological, cognitive, and contextual pathways to educational attainment. We also provide a summary of contemporary statistical methods and highlight existing data sets that can be used to test developmental cascade models of educational attainment from birth through adulthood. We conclude the chapter by discussing the challenges of this research and explore important future directions of using developmental cascades to understand educational attainment.
发展级联描述了发展系统如何相互作用和影响，从而塑造人类整个生命周期的发展。尽管发展级联很流行，但通常将其用于理解精神病理学的发展过程，通常是在风险和适应力的背景下。该框架是否可用于研究儿童的教育成果仍未得到充分探索。因此，在本章中，我们提供了一个概述，介绍如何使用发展级联来研究儿童的学业发展，特别关注通向教育成就的生物学、认知和背景途径。我们还总结了当代统计方法，并强调了现有的数据集，这些数据集可用于从出生到成年测试教育成就的发展级联模型。最后，我们通过讨论该研究的挑战来结束本章，并探讨了使用发展级联来理解教育成就的重要未来方向。
