Today's PSMG Virtual Grand Rounds: Linda Collins, Ph.D. of Pennsylvania State University

Topic: 
Why conduct a factorial optimization trial?

Presented by:
Linda Collins, Ph.D.
Pennsylvania State University

When:
Tuesday, February 13, 2018
12:00 PM - 1:30 PM CT

Where: Online
In order to join us for this presentation, you must be a member. Find out more here, and become a PSMG member today!

Audience: Faculty/Staff - Student - Public - Post Docs/Docs - Graduate Students

Contact: Katia V. Chernyshov   312.503.4334
PSMG@northwestern.edu

ABSTRACT:
Behavioral interventions are used widely for prevention and treatment of health problems, and for promotion of well-being and academic achievement.  These interventions are typically developed and evaluated using the classical treatment package approach, in which the intervention is assembled a priori and evaluated by means of a two-group randomized controlled trial (RCT). 

She will describe an alternative framework for developing, optimizing, and evaluating behavioral interventions.  This framework, called the multiphase optimization strategy (MOST), is a principled approach that has been inspired by ideas from engineering.  MOST includes the RCT for evaluation, but also includes other steps before the RCT, including one or more optimization trials.  Optimization trials are experiments that gather the empirical information needed to optimize an intervention.  Optimization trials can be conducted using any experimental design, but factorial designs are often the most efficient and economical.

Factorial designs have been around for more than one hundred years, and remain widely used in many fields, such as agriculture and engineering.  However, behavioral scientists are typically not trained in the potential advantages of factorial experiments, and how best to use them as a tool for intervention optimization.  In this webinar I will first introduce MOST.  I will then focus on factorial experiments, particularly on why they are an important alternative for conducting an optimization trial in MOST.

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About PSMG:

Ce-PIM‘s Prevention Science and Methodology Group (PSMG) is a virtual network of more than 480 empirical researchers and methodologists aimed to advance the field of prevention science and support the implementation of evidence-based prevention programs. The PSMG grand rounds are now conducted virtually over the internet, allowing the members to view, question, and comment live from their own computer with leading scientists and methodologists at no cost. Access to live presentations is restricted to PSMG members. However, PSMG presentations are recorded and will be publicly accessible on our website two weeks after the presentation date on the archive page.

The PSMG will host sessions devoted specifically to HIV Prevention (chaired by Nanette Benbow and Gregory Phillips) as well as Implementation Science (chaired by J D Smith), Agent-Based Modeling (chaired by Wouter Vermeer), and Innovations in Research Designs (chaired by Booil Jo).

View the full presentation schedule here and become a PSGM member here today.