Fall 2019 Methodology Applications Series:
Cluster Randomized Trials in Education:
Lessons Learned, Migraines Overcome, and Crises Averted
The MAP Academy invites you to the first presentation of the Fall 2019 Methodology Applications Series, featuring James Bovaird, Director, Nebraska Academy for Methodology, Analytics and Psychometrics.
Friday, September 20, 2019 Nebraska Union — Platte River Room South
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Cluster Randomized Trials in Education: Lessons Learned, Migraines Overcome, and Crises Averted
The Reading Excellence Act passed by Congress in 1998 started a renewed push toward experimentation and random assignment as the foundation for scientifically based research in education. It has since been learned that simple random assignment is often insufficient, and the number of student participants is not always the solution.
Random assignment continues to be the cornerstone of social, behavioral and education research on program effectiveness or efficacy, especially in applied settings such as schools.
This presentation will discuss features of modern applied cluster randomized trials in school-based settings and some of their intricacies that are still overlooked or misunderstood despite the past two decades in the spotlight.
Date, Time, & Location
Friday, September 20, 2019
Nebraska Union, Platte River Room South
This presentation is free, open to the public, and requires no registration.
Director, Nebraska Academy for Methodology, Analytics and Psychometrics
James Bovaird is the founding director of the Nebraska Academy for Methodology, Analytics and Psychometrics at the University of Nebraska–Lincoln. He has significant statistical consulting experience, especially with designs requiring hierarchical, multilevel and structural equation modeling.
Bovaird's research interests focus on methodological applications and innovations in the use of advanced multivariate techniques in the social sciences, especially in education and psychology. He has authored several methodological book chapters, edited a compilation on longitudinal methods in the presence of contextual effects and authored several methodological articles in major quantitative and substantive journals.