Identifying Successful STEM Schools
American Institutes For Research In The Behavioral Sciences, Arlington VA
Investigators
Abstract
The Center for Analysis of Longitudinal Data in Education Research (CALDER) at the Urban Institute (UI) proposes a RAPID proposal to address an urgent Congressional request for information on successful STEM schools. Specifically, the Center, through the access it has to longitudinal state databases from a US Department of Education award, will conduct a preliminary analysis of how to create a survey using current state data and will query the data for what constitutes successful STEM schools. Through the use of hierarchical linear modeling (HLM) methods, the project will identify school-level residual effects of STEM fields, holding prior student achievement constant. This work should contribute substantially to an approach for measuring efficacy across diverse programs.
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