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Randomized Controlled Trials and Quasi-Experimental Designs
As education leaders determine the best use of limited public and private resources, making valid causal inferences about the effects of a policy or program is crucial. To assess the causal effects of policies and programs, SRI's education researchers use randomized controlled trials whenever possible.
When real-world constraints do not allow for random-assignment designs, our researchers draw on a methodological tool kit that includes regression discontinuity and interrupted time series designs as well as matching estimators (e.g., propensity score matching and Mahalanobis matching).
Effectiveness Study of Tools for Getting Along: Teaching Students to Problem Solve
Foundations is a comprehensive approach to behavior management that guides school staff in designing a proactive and positive schoolwide discipline plan. Foundations is designed to help educators and support staff expand skills in effective supervision, discipline, positive behavior support, and...
With the Erikson Institute, SRI is exploring the promise of Collaborative Math in promoting math learning in Head Start centers in the city of Chicago.
A new vision for K-12 science classrooms outlined by the Next Generation Science Standards (NGSS) recasts science proficiency as not only what students know, but also the extent to which they can use and apply what they know. This knowledge-in-use perspective represents a different way of thinking...