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Deeply Tailoring Adaptive Interventions: Enhancing Knowledge Generation of SMARTs in Special Education
Remedial and Special Education ( IF 3.250 ) Pub Date : 2021-07-23 , DOI: 10.1177/07419325211030669
Lauren H. Hampton 1 , Jason C. Chow 2
Affiliation  

Special educators serve a diverse population of students with unique strengths and needs, and adaptive interventions that account for individual differences before and during the intervention are an important tool to moving the field toward more individualized practices. The purpose of this article is to detail the conceptualization and application of tailoring the sequential multiple assignment randomized trial (SMART) design approach to developing and evaluating deeply tailored adaptive interventions through the application of secondary analyses to account for individual differences at multiple time points. This conceptual paper provides an overview beyond the basic SMART design components by describing the tactics, design options, and analyses currently available to further refine a SMART study into a more personalized intervention to account for individual differences at multiple points throughout the intervention and individual response to treatment.



中文翻译:

深度定制适应性干预:加强特殊教育中 SMART 的知识生成

特殊教育工作者为具有独特优势和需求的多样化学生群体提供服务,在干预之前和干预期间考虑个体差异的适应性干预是推动该领域走向更加个性化实践的重要工具。本文的目的是详细介绍通过应用二级分析来解释多个时间点的个体差异,定制顺序多重分配随机试验 (SMART) 设计方法以开发和评估深度定制的适应性干预措施的概念化和应用。本概念性论文通过描述策略、设计选项、

更新日期:2021-07-24
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