Experimental Methods, Remote – July 2021

Event Phone: 1-610-715-0115

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A 3-Day Remote Seminar Taught by Henry May, Ph.D.

This intermediate course on experimental design and analysis will focus on causal inference in randomized field trials. Topics include randomization-based causal inference, design of multilevel experiments (including cluster and multisite designs), statistical power, multiple comparisons, implementation fidelity, and techniques for addressing imperfections in real-world experiments (e.g., attrition, non-compliance).

The primary goal of any randomized experiment is to generate trustworthy inferences about the causal effects of a treatment or intervention. While randomized experiments have been a gold-standard for causal inference in medicine since the 1946 randomized clinical trial (RCT) of streptomycin, randomization-based experiments have only recently become the preferred method for studying the effects of social interventions.

For example, in the field of education, the past two decades have seen a dramatic shift toward understanding “what works” through randomized field trials as espoused by federal legislation and research grant programs. This seminar covers key aspects of designing and conducting experiments that meet the requirements of many federal and foundation grants programs focused on intervention research.

Examples used in the course demonstrate application of modern techniques for randomized experiments in real-world settings for social interventions (e.g., in schools, communities), marketing and sales interventions (e.g., in retail stores), and medical education/training (e.g., in hospitals). Additionally, the seminar covers key issues for experimental research subjected to the standards set by the US Department of Education’s What Works Clearinghouse and other policies from the National Institutes of Health and www.ClinicalTrials.gov.

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