Randomized Trials in Mathematics Education: Recalibrating the Proposed High Watermark
- 1 December 2008
- journal article
- Published by American Educational Research Association (AERA) in Educational Researcher
- Vol. 37 (9), 624-630
- https://doi.org/10.3102/0013189x08328879
Abstract
The author reviews the recommendations in Foundations for Success: The Final Report of the National Mathematics Advisory Panel (2008) and agrees that a rebalancing of mathematics education research is timely and necessary, but questions whether randomized trials of small experimental studies and large field studies, without a clearer framing of the needed continuum of studies, can adequately rebalance the portfolio and address the Panel’s “what works” questions. He offers one listing of the possible phases of research required to support high-quality causal inference in mathematics education as a way to foster continued debate about the ease of moving a model of research that works in one domain (drug trials) into the forced service of another intellectual domain (education).Keywords
This publication has 8 references indexed in Scilit:
- Advancing Educational Policy by Advancing Research on InstructionAmerican Educational Research Journal, 2008
- Perspectives on Evidence-Based Research in Education—What Works? Issues in Synthesizing Educational Program EvaluationsEducational Researcher, 2008
- Comments on Slavin: Through the Looking Glass: Experiments, Quasi-Experiments, and the Medical ModelEducational Researcher, 2008
- Comments on Slavin: Synthesizing Causal InferencesEducational Researcher, 2008
- Comparing and Contrasting the National Research Council Report On Evaluating Curricular Effectiveness With the What Works Clearinghouse ApproachEducational Evaluation and Policy Analysis, 2006
- The scaling of reading interventions: Building multilevel insightReading Research Quarterly, 2005
- Rethinking Scale: Moving Beyond Numbers to Deep and Lasting ChangeEducational Researcher, 2003
- Resources, Instruction, and ResearchEducational Evaluation and Policy Analysis, 2003