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.
Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.
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.
Syllabus
Week 1 - MOST is a different way of thinking
Week 2 - The preparation phase: Laying the foundation for successful optimization
Week 3 - Introduction to the factorial optimization trial
Week 4 - Some conceptual and technical aspects of the factorial experiment
Week 5 - Rigorous and responsible conduct of intervention optimization research
Week 6 - Completing the optimization phase and identifying your next steps
