Getting the MOST out of Single-Case Experimental Intervention Development: An Application of the Multiphase Optimization STrategy

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Authors: Lauren H. Hampton, Jason C. Chow, Justin D. Lane, Jennifer R. Ledford
Cited by: 1
References: 31

Abstract

As behavioral science moves towards more equitable and individualized interventions, there is a pressing need for flexible and efficient research frameworks. The Multiphase Optimization STrategy (MOST) is a framework for developing more optimized interventions through a sequential development of screening, refining, and confirming phases of knowledge generation. Traditionally reliant on group design studies, MOST can be strengthened by leveraging the strengths of single-case experimental design (SCED) studies, which allow for real-time modifications, contextual sensitivity, and individualized analysis. In this paper, we provide guidance that enables SCED researchers to leverage the benefits of the MOST framework to enhance adaptive intervention development, particularly for, but not limited to, populations that are often underrepresented in group design research. By doing so, researchers can more effectively identify, optimize, and evaluate adaptive intervention components to accelerate the development of evidence-based practice and build equitable behavioral health interventions.

Fields of Study & Subjects

Behavioral and Psychological Studies Engineering Education and Curriculum Development Optimal Experimental Design Methods

Publication details

Journal / source
Journal of Behavioral Education
Publisher
Springer Science and Business Media LLC
Volume
35
Issue
3
Pages
1392-1405
Publication date
25 May 2026
Language
EN