MOST from a Methodological Perspective

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

MOST from a Methodological Perspective

Coursera · Advanced ·📄 Research Papers Explained ·3mo ago

Key Takeaways

Applies the multiphase optimization strategy (MOST) framework to intervention research in public health, education, and criminal justice

Original Description

This course is aimed at intervention scientists working in any area--including public health, education, criminal justice, and others—interested in learning about an innovative framework for conducting intervention research. This course will show you how to use the multiphase optimization strategy (MOST) to: streamline interventions by eliminating inactive components; identify the combination of components that offers the greatest effectiveness without exceeding a defined implementation budget; develop interventions for immediate scalability; look inside the “black box” to understand which intervention components work and which do not; and improve interventions programmatically over time. In this course you will relate the MOST framework to your research objectives; learn how MOST differs from the standard approach to intervention development and evaluation; learn how to complete the preparation and optimization phases of MOST; and become familiar with rigorous and highly efficient experimental designs that will enable you to examine the performance of individual intervention components.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

I Spent Weeks Looking for a Research Gap Before I Realized I Was Searching the Wrong Way
Learn how to effectively find research gaps by changing your approach, a crucial skill for AI researchers and academics
Medium · AI
ICMI 2026 Reviews [D]
Learn how to interpret ICMI 2026 reviews and improve your paper's acceptance chances
Reddit r/MachineLearning
Workshop submission for main conference paper under review [D]
Learn how to navigate submitting a paper to a non-archival workshop before the final decision of a main conference like ECCV
Reddit r/MachineLearning
Kept context-switching between arxiv, OpenReview, GitHub, and HuggingFace for every paper, so I built this. Chrome extension + website with everything inline, plus citation graph + SPECTER2 neighbors. 3M papers, free, feedback welcome [P]
Streamline your research with a new Chrome extension and website that integrates 3M papers from arxiv, OpenReview, GitHub, and HuggingFace, including citation graphs and SPECTER2 neighbors, and provide feedback to improve it
Reddit r/MachineLearning
Up next
Beyond Big Vendors: ERP Systems Explained #shorts
Digital Transformation with Eric Kimberling
Watch →