MOST: Advanced Research Methodology in Intervention Science
Learn the Multiphase Optimization Strategy (MOST) for developing and evaluating effective, scalable interventions across disciplines.
Learn the Multiphase Optimization Strategy (MOST) for developing and evaluating effective, scalable interventions across disciplines.
This advanced course teaches intervention scientists the Multiphase Optimization Strategy (MOST), a methodological framework for developing and evaluating interventions. Students learn to streamline interventions by identifying effective components, optimize within resource constraints, and ensure immediate scalability. The curriculum covers factorial optimization trials, experimental designs, power analysis, and responsible research conduct. Through rigorous statistical approaches and practical applications, participants develop skills to examine intervention components systematically and improve programs over time.
Instructors:
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What you'll learn
Master the MOST framework for intervention development
Design and analyze factorial optimization trials
Conduct power analyses for optimization studies
Implement rigorous experimental designs
Evaluate intervention components systematically
Optimize interventions within resource constraints
Skills you'll gain
This course includes:
381 Minutes PreRecorded video
1 assignment
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FullTime access
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There are 7 modules in this course
This comprehensive course introduces the Multiphase Optimization Strategy (MOST) for intervention research. Through seven modules, students explore innovative approaches to intervention development and evaluation. The curriculum covers factorial optimization trials, analysis of variance, power analysis, and experimental designs. Special emphasis is placed on rigorous methodology and responsible research conduct, teaching researchers how to systematically examine intervention components and optimize program effectiveness within resource constraints.
MOST is a Different Way of Thinking
Module 1 · 4 Hours to complete
The Factorial Optimization Trial and the Factorial Analysis of Variance (ANOVA)
Module 2 · 3 Hours to complete
Some Conceptual and Technical Aspects of the Factorial Experiment
Module 3 · 1 Hours to complete
Powering a Factorial Optimization Trial
Module 4 · 2 Hours to complete
Additional Optimization Trial Designs
Module 5 · 3 Hours to complete
Rigorous and Responsible Conduct of Optimization Trials
Module 6 · 2 Hours to complete
Final Assessment
Module 7 · 30 Minutes to complete
Fee Structure
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Financial Aid
Instructors
Innovator in Intervention Optimization and Public Health Research
Dr. Linda M. Collins is a distinguished professor at the NYU School of Global Public Health, where she focuses on the development and application of the multiphase optimization strategy (MOST), a groundbreaking framework designed to optimize and evaluate interventions across various fields, including public health, education, and criminal justice. With a strong foundation in engineering, behavioral science, and multivariate statistics, Dr. Collins aims to enhance intervention effectiveness, affordability, scalability, and efficiency through MOST. Her collaborative research spans critical areas such as HIV prevention, smoking cessation, and weight loss interventions. Dr. Collins has received funding from prominent institutions like the National Institute on Drug Abuse and the National Science Foundation, and her work has been published in numerous prestigious journals. An active contributor to the academic community, she has delivered over 100 invited presentations globally and has received several honors, including a Fulbright Specialist grant and the President’s Award from the Society for Prevention Research. Dr. Collins earned her B.A. from the University of Connecticut and her Ph.D. from the University of Southern California, previously holding faculty positions at USC and Penn State before joining NYU.
Assistant Research Professor and Expert in Child Maltreatment Prevention
Dr. Kate Guastaferro is an Assistant Research Professor in the Center for Healthy Children at New York University and an affiliate of the Child Maltreatment Solutions Network. Her research focuses on the intersection of prevention science and innovative methodologies for developing, optimizing, and evaluating interventions. As an expert in the multiphase optimization strategy (MOST), Dr. Guastaferro has applied this framework to address various public health issues, including STI prevention among first-year college students. She earned her PhD in Public Health from Georgia State University in 2016, where she was recognized with the Public Health Achievement Award for her academic accomplishments. Dr. Guastaferro's vision is to create effective, efficient, and scalable child maltreatment prevention programs by integrating her substantive and methodological interests. She has published extensively in prominent journals and has previously held a research position at Pennsylvania State University, where she contributed to significant trials aimed at preventing child sexual abuse.
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