Wednesday, October 22, 2014

Improving Student Outcomes: Using Causal Analysis To Determine Which Interventions Actually Work

Date: November 4 ~ 3:00-4:30pm (Eastern)
Type: online webinar

With the proliferation of interventions in all levels of education, it is imperative to know which interventions actually work to improve student outcomes. As such, it is also important for administrators and instructors alike to know the fundamental concepts of causal analysis, or studies that help determine whether an intervention is actually causing outcomes to improve over time.

This webinar will introduce participants to the basic concepts of experimental design, with a focus on randomized controlled trials (RCTs) and quasi-experimental methods, such as difference-in-differences and regression discontinuity designs. We will also discuss the concept of matched comparison designs using propensity scores. This webinar is an introduction to the fundamentals of causal analysis and is appropriate for anyone interested in knowing more about cause and effect. Participants will leave the webinar with an understanding of how causal analysis can be used to improve student outcomes on their campus. 

* Understand how to use causal analysis to assess interventions and improve student outcomes
* Learn the basic concepts of randomized controlled trials (RCTs) and why they are considered to be the “gold standard” of causal analysis
* Understand the difference between levels of assignment to treatment and comparison conditions, as well as levels of inference
* Discuss other options for running a causal analysis study if RCTs are not possible
* Discover the importance of measuring baseline equivalence in non-RCT studies

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