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Our Research

DRDC PI addresses REL-Midwest on "Improving the Effectiveness of Education: The Need for Rigorous Research" and the 2008 ITEST Summit on "Kindling a STEM Workforce."

DRDC Co-PI writes about the use of "Intraclass Correlation Values for Planning Group Randomized Trials in Education."

The Data Research and Development Center conducts research to understand the factors that are essential for scaling up promising educational models, programs, and strategies. DRDC works to improve understanding of the conditions under which educational interventions that prove to be effective in one setting can or cannot be extended to larger and more diverse populations. For example, DRDC's research explores how nesting data provides new insights into learning, child and adolescent development, instruction, and charting achievement over time.

DRDC also studies methods that permit comparisons of diverse sources of data by developing models to establish statistical markers of convergence. The goal is to develop an analysis structure that can appraise the inferential dependability of different forms of evidence, including video and audio, as well as more standard types of qualitative and quantitative data.

All of DRDC's research and technical assistance activities reflect our commitment to ensuring the availability of rigorous evidence on interventions designed to improve student learning and the effectiveness of education.

 
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